{
  "cells": [
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      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": true,
        "id": "fSaPQh5o9j6N"
      },
      "outputs": [],
      "source": [
        "import torch\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "from torch.autograd import Variable\n",
        "import torch.nn.functional as F\n",
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "wYRcNn_Z9j6T",
        "outputId": "73fb4e45-9b4f-4d23-d532-559ec897e4ea"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'1.12.1+cu113'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 3
        }
      ],
      "source": [
        "torch.__version__"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": true,
        "id": "9XVHZz4_9j6d"
      },
      "outputs": [],
      "source": [
        "df = pd.read_csv(\"https://raw.githubusercontent.com/pradmishra1/PublicDatasets/main/mtcars.csv\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "scrolled": true,
        "colab": {
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          "height": 206
        },
        "id": "N32PT6Vd9j6o",
        "outputId": "dcbea1d5-dba0-4baa-9a2f-f6da56337451"
      },
      "outputs": [
        {
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          "data": {
            "text/plain": [
              "               model   mpg  cyl   disp   hp  drat     wt   qsec  vs  am  gear  \\\n",
              "0          Mazda RX4  21.0    6  160.0  110  3.90  2.620  16.46   0   1     4   \n",
              "1      Mazda RX4 Wag  21.0    6  160.0  110  3.90  2.875  17.02   0   1     4   \n",
              "2         Datsun 710  22.8    4  108.0   93  3.85  2.320  18.61   1   1     4   \n",
              "3     Hornet 4 Drive  21.4    6  258.0  110  3.08  3.215  19.44   1   0     3   \n",
              "4  Hornet Sportabout  18.7    8  360.0  175  3.15  3.440  17.02   0   0     3   \n",
              "\n",
              "   carb  \n",
              "0     4  \n",
              "1     4  \n",
              "2     1  \n",
              "3     1  \n",
              "4     2  "
            ],
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              "      <th></th>\n",
              "      <th>model</th>\n",
              "      <th>mpg</th>\n",
              "      <th>cyl</th>\n",
              "      <th>disp</th>\n",
              "      <th>hp</th>\n",
              "      <th>drat</th>\n",
              "      <th>wt</th>\n",
              "      <th>qsec</th>\n",
              "      <th>vs</th>\n",
              "      <th>am</th>\n",
              "      <th>gear</th>\n",
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              "  <tbody>\n",
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              "      <th>0</th>\n",
              "      <td>Mazda RX4</td>\n",
              "      <td>21.0</td>\n",
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              "      <th>1</th>\n",
              "      <td>Mazda RX4 Wag</td>\n",
              "      <td>21.0</td>\n",
              "      <td>6</td>\n",
              "      <td>160.0</td>\n",
              "      <td>110</td>\n",
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              "      <td>4</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Datsun 710</td>\n",
              "      <td>22.8</td>\n",
              "      <td>4</td>\n",
              "      <td>108.0</td>\n",
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              "      <td>2.320</td>\n",
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              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Hornet 4 Drive</td>\n",
              "      <td>21.4</td>\n",
              "      <td>6</td>\n",
              "      <td>258.0</td>\n",
              "      <td>110</td>\n",
              "      <td>3.08</td>\n",
              "      <td>3.215</td>\n",
              "      <td>19.44</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Hornet Sportabout</td>\n",
              "      <td>18.7</td>\n",
              "      <td>8</td>\n",
              "      <td>360.0</td>\n",
              "      <td>175</td>\n",
              "      <td>3.15</td>\n",
              "      <td>3.440</td>\n",
              "      <td>17.02</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
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              "\n",
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              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "            + ' to learn more about interactive tables.';\n",
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              "  "
            ]
          },
          "metadata": {},
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        }
      ],
      "source": [
        "del df['Unnamed: 0']\n",
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1Bi2X21i9j6o",
        "outputId": "b89d6448-afe5-4dd1-d41f-856564d8e8d1"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<torch._C.Generator at 0x7fcd30aa2a10>"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ],
      "source": [
        "torch.manual_seed(1234)    # reproducible"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": true,
        "id": "w7T615Kw9j6p"
      },
      "outputs": [],
      "source": [
        "x = torch.unsqueeze(torch.from_numpy(np.array(df.qsec)),dim=1)\n",
        "y = torch.unsqueeze(torch.from_numpy(np.array(df.mpg)),dim=1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-WPQnKNb9j6p",
        "outputId": "d6cfd25c-9427-4ee7-bfb0-89792a028da0"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([[16.4600],\n",
              "        [17.0200],\n",
              "        [18.6100],\n",
              "        [19.4400],\n",
              "        [17.0200],\n",
              "        [20.2200],\n",
              "        [15.8400],\n",
              "        [20.0000],\n",
              "        [22.9000],\n",
              "        [18.3000]], dtype=torch.float64)"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ],
      "source": [
        "x[0:10]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "R15KXmMa9j6q",
        "outputId": "fbcd37f1-32fe-4bec-d5d6-3efd505e7d2f"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([[21.0000],\n",
              "        [21.0000],\n",
              "        [22.8000],\n",
              "        [21.4000],\n",
              "        [18.7000],\n",
              "        [18.1000],\n",
              "        [14.3000],\n",
              "        [24.4000],\n",
              "        [22.8000],\n",
              "        [19.2000]], dtype=torch.float64)"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ],
      "source": [
        "y[0:10]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": true,
        "id": "8BxNTGZ99j6r"
      },
      "outputs": [],
      "source": [
        "class Net(torch.nn.Module):\n",
        "    def __init__(self, n_feature, n_hidden, n_output):\n",
        "        super(Net, self).__init__()\n",
        "        self.hidden = torch.nn.Linear(n_feature, n_hidden)   # hidden layer\n",
        "        self.predict = torch.nn.Linear(n_hidden, n_output)   # output layer\n",
        "\n",
        "    def forward(self, x):\n",
        "        x = F.relu(self.hidden(x))      # activation function for hidden layer\n",
        "        x = self.predict(x)             # linear output\n",
        "        return x"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JV_QzVD49j6s",
        "outputId": "83961356-7a30-47dc-9312-81a9ed681198"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Net(\n",
            "  (hidden): Linear(in_features=1, out_features=20, bias=True)\n",
            "  (predict): Linear(in_features=20, out_features=1, bias=True)\n",
            ")\n"
          ]
        }
      ],
      "source": [
        "net = Net(n_feature=1, n_hidden=20, n_output=1)   \n",
        "net.double()\n",
        "print(net)  # Neural network architecture"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": true,
        "id": "UDOZ8JQx9j6s"
      },
      "outputs": [],
      "source": [
        "optimizer = torch.optim.SGD(net.parameters(), lr=0.2)\n",
        "loss_func = torch.nn.MSELoss()  \n",
        "# this is for regression mean squared loss"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AiR2-bk59j6t",
        "outputId": "23e24500-ddda-432d-91ef-ab11d50d0493"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "SGD (\n",
              "Parameter Group 0\n",
              "    dampening: 0\n",
              "    foreach: None\n",
              "    lr: 0.2\n",
              "    maximize: False\n",
              "    momentum: 0\n",
              "    nesterov: False\n",
              "    weight_decay: 0\n",
              ")"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ],
      "source": [
        "optimizer"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5ALP0fS39j6t",
        "outputId": "30d1ab55-0304-4802-8793-f5c099af3f6a"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "MSELoss()"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ],
      "source": [
        "loss_func"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": true,
        "id": "K4dgeFST9j6u"
      },
      "outputs": [],
      "source": [
        "#Turn the interactive mode on\n",
        "plt.ion()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 581
        },
        "id": "E_ImpYt79j6u",
        "outputId": "23e6cedf-a4ca-46d0-a11f-437c5521a012"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "for t in range(100):\n",
        "    prediction = net(x)     # input x and predict based on x\n",
        "    loss = loss_func(prediction, y)     # must be (1. nn output, 2. target)\n",
        "    optimizer.zero_grad()   # clear gradients for next train\n",
        "    loss.backward()         # backpropagation, compute gradients\n",
        "    optimizer.step()        # apply gradients\n",
        "\n",
        "    if t % 50 == 0:\n",
        "        # plot and show learning process\n",
        "        plt.cla()\n",
        "        plt.scatter(x.data.numpy(), y.data.numpy())\n",
        "        plt.plot(x.data.numpy(), prediction.data.numpy(), 'g-', lw=3)\n",
        "        plt.text(0.5, 0, 'Loss=%.4f' % loss.data.numpy())\n",
        "        plt.show()\n",
        "plt.ioff()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": true,
        "id": "CVwD7uBe9j6v"
      },
      "outputs": [],
      "source": [
        "optimizer = torch.optim.SGD(net.parameters(), lr=0.001)\n",
        "loss_func = torch.nn.MSELoss()  # this is for regression mean squared loss"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "8V2B_-OE9j6v",
        "outputId": "23bdff1e-e91d-4bb2-c39e-58e3b4e42996"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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jjt3PcjsAgDEzzvt6Dh88kBuvvTIHpqdSSQ5MT+XGa68UOthRzCQBAIyZcd/XYyaGnc5MEgDAmNFhDbaXkAQAMGZ0WIPtZbkdAMCY0WENtpeQBAAwhuzrge0jJAEA7FDjei8kGHdCEgDADjTO90KCcadxAwDADjTO90KCcSckAQDsQON+LyQYZ0ISAMAO5F5IMBwhCQAm0PzCUq6+6fY884Z35uqbbs/8wtLQJXEB90KC4WjcAAATRkOA8eBeSDAcIQkAJszDNQTwB/jmbHXLbvdCgmEISQAwYTQE2B5m6GD3sCcJACaMhgDbQ8tu2D3MJAHAhJk7NHPejEeiIcBW2IoZuq1erjfUOWDcmUkCgIFU1Zur6t6q+lBv7HVVtVRVd3WPF2/1eQ8fPJAbr70yB6anUkkOTE/lxmuv9IfyJm12hm5tud7S8kpavrBcbys7D47iHLAbCEkAMJxbkrxonfE3ttau6h6/vR0nPnzwQN53wzX5s5u+Oe+74Zok0RJ8kzbbsnsUy/UsCYRHx3I7ABhIa+33quoZQ9eh4cDW2GzL7lE01NC0Ax4dIQkAdp4fqKrvSHIiyWtaa5/ezpNpCb51NtOye//0VJbWCSuPq8ozb3jnluwfutg5NO2A81luBwA7y88n+YokVyU5k+T1672oqq6vqhNVdeK+++7b1AnNLuwM6y3XS5JzrW3Z/qHNLgmESSEkAcAO0lr7ZGvtXGvt80l+IclzLvK6m1trs6212X379m3qnFqC7wwXNtTYU/WQ12x2/5CmHfDoWG4HADtIVV3aWjvTffstST70cK/fClqC7xz95XrPvOGd675mszN8m1kSCJNCSAKAgVTVW5M8L8lTq+qeJD+R5HlVdVWSluTPk3z3dtex2YYDQ9nt9/uxfwiGU621oWsAADZhdna2nThxYugyRurCjnzJ6uzXblo6NgmfEYZUVSdba7PrHbMnCQAYO5Nwvx/7h2A4ltsBAGNnUjry2T8EwzCTBACMHR35gO0kJAEAY8f9foDtZLkdADB2xrUjHzAehCQAYCzZrwNsFyEJABjEbr/PETC+hCQAYOQuvAfQ0vJKjhxbTBJBCRicxg0AwMhNwn2OgPElJAEAIzcp9zkCxpOQBACMnPscATuZkAQAjJz7HAE7mcYNAMDIuc8RsJMJSQDAINznCNipLLcDAADoEZIAAAB6hCQAAIAeIQkAAKBHSAIAAOgRkgAAAHqEJAAAgB4hCQAAoEdIAgAA6BGSAAAAeoQkAACAHiEJAACgR0gCAADoEZIAAAB6hCQAAIAeIQkAAKDnkqELAABg680vLOXo8VM5vbyS/dNTmTs0k8MHD1x0HPgCIQkAYJeZX1jKkWOLWTl7LkmytLySI8cWc+Ljn8rbTi49ZDyJoAQ9ltsBAOwyR4+fejAIrVk5ey5vvfMv1x0/evzUKMuDHU9IAoCBVNWbq+reqvpQb+wpVfXuqvpY9/XJQ9bIeDq9vLLu+LnWNvR6mFRCEgAM55YkL7pg7IYk72mtfVWS93Tfw4bsn55ad3xP1YZeD5NKSAKAgbTWfi/Jpy4YfmmSW7vntyY5PNKi2BXmDs1kau+e88am9u7Jy/7uZeuOzx2aGWV5sONp3AAAO8vTWmtnuuefSPK0IYthPK01YVivi93slz9Fdzt4BNUusjYVANh+VfWMJL/VWvua7vvl1tp07/inW2sP2ZdUVdcnuT5JLr/88md//OMfH03BALtEVZ1src2ud8xyOwDYWT5ZVZcmSff13vVe1Fq7ubU221qb3bdv30gLBNjthCQA2Fl+I8l13fPrkrxjwFoAJpKQBAADqaq3JvmDJDNVdU9VvTLJTUleWFUfS/L3u+8BGCGNGwBgIK21l13k0AtGWggA5zGTBAAA0KO7HQCMuaq6L4n2dg/11CR/NXQRO5jr88hco4c37tfny1tr63a+EZIAgF2pqk5crL0vrs+j4Ro9vN18fSy3AwAA6BGSAAAAeoQkAGC3unnoAnY41+eRuUYPb9deH3uSAAAAeswkAQAA9AhJAAAAPUISADD2qurNVXVvVX3ogvEfrKqPVtWHq+qnh6pvaOtdn6q6qqreX1V3VdWJqnrOkDUOqaouq6o7quoj3e/KD3fjT6mqd1fVx7qvTx661qE8zDU62v0/9sGqentVTQ9d61awJwkAGHtV9Y1JPpfkl1trX9ONPT/Jjyf55tba/VX1Za21e4escygXuT6/k+SNrbV3VdWLk/xoa+15A5Y5mKq6NMmlrbU/qqonJjmZ5HCSVyT5VGvtpqq6IcmTW2uvHbDUwTzMNXp6kttbaw9U1U8lyW64RmaSAICx11r7vSSfumD4e5Pc1Fq7v3vNRAak5KLXpyV5Uvf8S5OcHmlRO0hr7Uxr7Y+6559NcneSA0lemuTW7mW3ZjUUTKSLXaPW2u+01h7oXvb+rIamsSckAQC71Vcn+YaqurOqfreqvm7ognaYVyU5WlV/meRnkhwZuJ4doaqekeRgkjuTPK21dqY79IkkTxuorB3lgmvU98+SvGvU9WwHIQkA2K0uSfKUJM9NMpfktqqqYUvaUb43yatba5cleXWSNw1cz+Cq6glJ3pbkVa21z/SPtdU9KhO/T+Vi16iqfjzJA0neMlRtW0lIAgB2q3uSHGur/jDJ55M8deCadpLrkhzrnv/XJBPbuCFJqmpvVv/4f0trbe26fLLbi7O2J2dil2wmF71GqapXJPkHSf5p2yUND4QkAGC3mk/y/CSpqq9O8vgkfzVoRTvL6STf1D2/JsnHBqxlUN0M45uS3N1ae0Pv0G9kNUym+/qOUde2U1zsGlXVi5L8aJKXtNb+z1D1bTXd7QCAsVdVb03yvKzOFH0yyU8k+ZUkb05yVZL/l+RHWmu3D1XjkC5yfU4l+Q9ZXZb4f5N8X2vt5FA1Dqmq/l6S30+ymNUZxyT5sazuubktyeVJPp7k21prFzbAmAgPc41+NsnfSPLX3dj7W2vfM/oKt5aQBAAA0GO5HQAAQI+QBAAA0CMkAQAA9AhJAAAAPUISAABAj5AEAADQIyQBAAD0CEkAAAA9QhIAAECPkAQAANAjJAEAAPQISQAAAD1CEgAAQI+QBAAA0CMkAQAA9AhJAAAAPUISAABAj5AEAADQIyQBAAD0CEkAAAA9QhIAAECPkAQAANAjJAEAAPQISQAAAD1CEgAAQI+QBAAA0CMkAQAA9AhJAAAAPUISAABAj5AEAADQIyQBAAD0CEkAAAA9QhIAAECPkAQAANAjJAEAAPQISQAAAD1CEgAAQI+QBAAA0CMkAQAA9AhJAAAAPUISAABAj5AEAADQIyQBAAD0CEkAAAA9QhIAAECPkAQAANAjJAEAAPQISQAAAD1CEgAAQI+QBAAA0CMkAQAA9AhJAAAAPUISAABAj5AEAADQ84ghqao+N4pC1jnvm6rqA1X1war69ap6Qjf+iqq6r6ru6h7fdZH3/7uq+ssL66+qy6vqjqpa6H72i7vxx1fVL1XVYnfe5/Xe8+xu/I+r6merqrbxowMAAAPayTNJr26tfW1r7W8n+YskP9A79muttau6xy9e5P2/meQ564z/yyS3tdYOJvnHSf5TN/7Pk6S1dmWSFyZ5fVWtXZ+f745/Vfd40SY+FwAAsIM9ppBUVVdV1fu7mZi3V9WTu/EfqqqPdOO/2o19U2/WZ6GqnvhoztFa+0z3/koylaRtpMbW2vtba2fWO5TkSd3zL01yunv+rCS3d++9N8lyktmqujTJk7qf15L8cpLDG6kFAAAYH491JumXk7y2m+VZTPIT3fgNSQ5249/Tjf1Iku9vrV2V5BuSrFTVE3vB6cLHs9ZOUlW/lOQTSa5I8h975//W3jK8yzZY++uSfHtV3ZPkt5P8YDf+gSQvqapLquqZSZ6d5LIkB5Lc03v/Pd0YAACwC204JFXVlyaZbq39bjd0a5Jv7J5/MMlbqurbkzzQjb0vyRuq6oe69z3QWvtsb7nchY+PrJ2rtfadSfYnuTvJP+qGfzPJM7og9u7u/BvxsiS3tNaenuTFSX6lW1b35qwGoBNJ/n2S/57k3AZ/NgAAMOa2ek/SNyf5uSR/J8n/qKpLWms3JfmurC6Ze19VXfFoZ5KSpLV2LsmvJvnW7vu/bq3d3x3+xazO+GzEK5Pc1v2sP0jyRUme2oW3V3dB7aVJppP8zyRLSZ7ee//TuzEAAGAXumSjb2it/a+q+nRVfUNr7feTvDzJ73azMZe11u6oqvdmtSnCE6rqb7bWFpMsVtXXJbmitfbRJFdd7BzdPqSvaK39cff8JUk+2h27tLfX6CVZnWXaiL9I8oIkt1TV38pqSLqvqr44SbXW/ndVvTDJA2uzWlX1map6bpI7k3xHzl/6BwAA7CKPJiR9cbd/Z80bklyX5D93weJPk3xnkj1J/ku3HK+S/Gxrbbmq/k1VPT/J55N8OMm7HsU5K8mtVfWk7vkHknxvd+yHquolWV3O96kkr3jwTVV3dXufUlU/neSf9Or/xdba65K8JskvVNWrs9rE4RWttVZVX5bkeFV9PqszRS/v1fN9SW7J6mzYux7lZwAAAMZQrTZsAwAAINnZ90kCAAAYOSEJAACgR0gCAADoEZIAAAB6hCQAAIAeIQkAAKBHSAIAAOj5/xwgZdnq5Je+AAAAAElFTkSuQmCC\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "for t in range(1000):\n",
        "    prediction = net(x)     # input x and predict based on x\n",
        "    loss = loss_func(prediction, y)     # must be (1. nn output, 2. target)\n",
        "    optimizer.zero_grad()   # clear gradients for next train\n",
        "    loss.backward()         # backpropagation, compute gradients\n",
        "    optimizer.step()        # apply gradients\n",
        "\n",
        "    if t % 100 == 0:\n",
        "        # plot and show learning process\n",
        "        plt.cla()\n",
        "        plt.scatter(x.data.numpy(), y.data.numpy())\n",
        "        plt.plot(x.data.numpy(), prediction.data.numpy(), 'g-', lw=3)\n",
        "        plt.text(0.5, 0, 'Loss=%.4f' % loss.data.numpy())\n",
        "        plt.show()\n",
        "plt.ioff() #Turn the interactive mode off"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "Ng4XgMTL9j6w",
        "outputId": "f21d3ef3-1057-48a2-df08-2cae04be67bf"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "               model   mpg  cyl   disp   hp  drat     wt   qsec  vs  am  gear  \\\n",
              "0          Mazda RX4  21.0    6  160.0  110  3.90  2.620  16.46   0   1     4   \n",
              "1      Mazda RX4 Wag  21.0    6  160.0  110  3.90  2.875  17.02   0   1     4   \n",
              "2         Datsun 710  22.8    4  108.0   93  3.85  2.320  18.61   1   1     4   \n",
              "3     Hornet 4 Drive  21.4    6  258.0  110  3.08  3.215  19.44   1   0     3   \n",
              "4  Hornet Sportabout  18.7    8  360.0  175  3.15  3.440  17.02   0   0     3   \n",
              "\n",
              "   carb  \n",
              "0     4  \n",
              "1     4  \n",
              "2     1  \n",
              "3     1  \n",
              "4     2  "
            ],
            "text/html": [
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>model</th>\n",
              "      <th>mpg</th>\n",
              "      <th>cyl</th>\n",
              "      <th>disp</th>\n",
              "      <th>hp</th>\n",
              "      <th>drat</th>\n",
              "      <th>wt</th>\n",
              "      <th>qsec</th>\n",
              "      <th>vs</th>\n",
              "      <th>am</th>\n",
              "      <th>gear</th>\n",
              "      <th>carb</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Mazda RX4</td>\n",
              "      <td>21.0</td>\n",
              "      <td>6</td>\n",
              "      <td>160.0</td>\n",
              "      <td>110</td>\n",
              "      <td>3.90</td>\n",
              "      <td>2.620</td>\n",
              "      <td>16.46</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Mazda RX4 Wag</td>\n",
              "      <td>21.0</td>\n",
              "      <td>6</td>\n",
              "      <td>160.0</td>\n",
              "      <td>110</td>\n",
              "      <td>3.90</td>\n",
              "      <td>2.875</td>\n",
              "      <td>17.02</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Datsun 710</td>\n",
              "      <td>22.8</td>\n",
              "      <td>4</td>\n",
              "      <td>108.0</td>\n",
              "      <td>93</td>\n",
              "      <td>3.85</td>\n",
              "      <td>2.320</td>\n",
              "      <td>18.61</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Hornet 4 Drive</td>\n",
              "      <td>21.4</td>\n",
              "      <td>6</td>\n",
              "      <td>258.0</td>\n",
              "      <td>110</td>\n",
              "      <td>3.08</td>\n",
              "      <td>3.215</td>\n",
              "      <td>19.44</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Hornet Sportabout</td>\n",
              "      <td>18.7</td>\n",
              "      <td>8</td>\n",
              "      <td>360.0</td>\n",
              "      <td>175</td>\n",
              "      <td>3.15</td>\n",
              "      <td>3.440</td>\n",
              "      <td>17.02</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d7d2c8bd-d3c5-47c4-a772-c9083267cc4a')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-d7d2c8bd-d3c5-47c4-a772-c9083267cc4a button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-d7d2c8bd-d3c5-47c4-a772-c9083267cc4a');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ],
      "source": [
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": true,
        "id": "2-cT0onx9j6w"
      },
      "outputs": [],
      "source": [
        "x = torch.unsqueeze(torch.from_numpy(np.array(df.mpg)),dim=1)\n",
        "y = torch.unsqueeze(torch.from_numpy(np.array(df.qsec)),dim=1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": true,
        "id": "_TKHcWkx9j6x"
      },
      "outputs": [],
      "source": [
        "optimizer = torch.optim.SGD(net.parameters(), lr=0.2)\n",
        "loss_func = torch.nn.MSELoss()  # this is for regression mean squared loss"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": true,
        "id": "SPFaexIr9j6x"
      },
      "outputs": [],
      "source": [
        "plt.ion() #Turn the interactive mode on"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "Wuj9j7VS9j6x",
        "outputId": "1f94a0eb-87d7-411e-f6b4-98c2dc259479"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "for t in range(1000):\n",
        "    prediction = net(x)     # input x and predict based on x\n",
        "    loss = loss_func(prediction, y)     # must be (1. nn output, 2. target)\n",
        "    optimizer.zero_grad()   # clear gradients for next train\n",
        "    loss.backward()         # backpropagation, compute gradients\n",
        "    optimizer.step()        # apply gradients\n",
        "\n",
        "    if t % 200 == 0:\n",
        "        # plot and show learning process\n",
        "        plt.cla()\n",
        "        plt.scatter(x.data.numpy(), y.data.numpy())\n",
        "        plt.plot(x.data.numpy(), prediction.data.numpy(), 'g-', lw=3)\n",
        "        plt.text(0.5, 0, 'Loss=%.4f' % loss.data.numpy())\n",
        "        plt.show()\n",
        "plt.ioff() #Turn the interactive mode off"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "GYoMFyub9j6y",
        "outputId": "6c0295c0-8e64-4e8a-df34-02f3a2fbd74a"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "               model   mpg  cyl   disp   hp  drat     wt   qsec  vs  am  gear  \\\n",
              "0          Mazda RX4  21.0    6  160.0  110  3.90  2.620  16.46   0   1     4   \n",
              "1      Mazda RX4 Wag  21.0    6  160.0  110  3.90  2.875  17.02   0   1     4   \n",
              "2         Datsun 710  22.8    4  108.0   93  3.85  2.320  18.61   1   1     4   \n",
              "3     Hornet 4 Drive  21.4    6  258.0  110  3.08  3.215  19.44   1   0     3   \n",
              "4  Hornet Sportabout  18.7    8  360.0  175  3.15  3.440  17.02   0   0     3   \n",
              "\n",
              "   carb  \n",
              "0     4  \n",
              "1     4  \n",
              "2     1  \n",
              "3     1  \n",
              "4     2  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-2ae0383e-b4a6-4ecd-845d-a01031ce85c4\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>model</th>\n",
              "      <th>mpg</th>\n",
              "      <th>cyl</th>\n",
              "      <th>disp</th>\n",
              "      <th>hp</th>\n",
              "      <th>drat</th>\n",
              "      <th>wt</th>\n",
              "      <th>qsec</th>\n",
              "      <th>vs</th>\n",
              "      <th>am</th>\n",
              "      <th>gear</th>\n",
              "      <th>carb</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Mazda RX4</td>\n",
              "      <td>21.0</td>\n",
              "      <td>6</td>\n",
              "      <td>160.0</td>\n",
              "      <td>110</td>\n",
              "      <td>3.90</td>\n",
              "      <td>2.620</td>\n",
              "      <td>16.46</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Mazda RX4 Wag</td>\n",
              "      <td>21.0</td>\n",
              "      <td>6</td>\n",
              "      <td>160.0</td>\n",
              "      <td>110</td>\n",
              "      <td>3.90</td>\n",
              "      <td>2.875</td>\n",
              "      <td>17.02</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Datsun 710</td>\n",
              "      <td>22.8</td>\n",
              "      <td>4</td>\n",
              "      <td>108.0</td>\n",
              "      <td>93</td>\n",
              "      <td>3.85</td>\n",
              "      <td>2.320</td>\n",
              "      <td>18.61</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Hornet 4 Drive</td>\n",
              "      <td>21.4</td>\n",
              "      <td>6</td>\n",
              "      <td>258.0</td>\n",
              "      <td>110</td>\n",
              "      <td>3.08</td>\n",
              "      <td>3.215</td>\n",
              "      <td>19.44</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Hornet Sportabout</td>\n",
              "      <td>18.7</td>\n",
              "      <td>8</td>\n",
              "      <td>360.0</td>\n",
              "      <td>175</td>\n",
              "      <td>3.15</td>\n",
              "      <td>3.440</td>\n",
              "      <td>17.02</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2ae0383e-b4a6-4ecd-845d-a01031ce85c4')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-2ae0383e-b4a6-4ecd-845d-a01031ce85c4 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-2ae0383e-b4a6-4ecd-845d-a01031ce85c4');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ],
      "source": [
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "collapsed": true,
        "id": "mutD9W_T9j6z",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "307f9dc2-5c35-4bc0-c894-b54a26641a48"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<torch._C.Generator at 0x7f45b2033a50>"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ],
      "source": [
        "import torch\n",
        "from torch.autograd import Variable\n",
        "import torch.nn as nn\n",
        "import torch.nn.functional as F\n",
        "import matplotlib.pyplot as plt\n",
        "import torch.optim as optim\n",
        "\n",
        "torch.manual_seed(1)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# data preparation for logistic regression\n",
        "n_data = torch.ones(100,2)\n",
        "x0 = torch.normal(2*n_data,1)\n",
        "y0 = torch.zeros(100)\n"
      ],
      "metadata": {
        "id": "BGnNM3cC0ft6"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x1 = torch.normal(-2*n_data,1)\n",
        "y1 = torch.ones(100)\n"
      ],
      "metadata": {
        "id": "ge6KjwqG1K9w"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x = torch.cat((x0,x1),0).type(torch.FloatTensor)\n",
        "y = torch.cat((y0,y1), ).type(torch.LongTensor)\n"
      ],
      "metadata": {
        "id": "y30vp1UW1VgU"
      },
      "execution_count": 32,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Variable conversion\n",
        "x, y = Variable(x), Variable(y)"
      ],
      "metadata": {
        "id": "cTuf-1gu1mBc"
      },
      "execution_count": 33,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# sample data prep for logistic regression model"
      ],
      "metadata": {
        "id": "sIRcldhN1v_l"
      },
      "execution_count": 34,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.scatter(x.data.numpy()[:,0], x.data.numpy()[:,1],c=y.data.numpy(),s=100)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "-AhLrzmy12T5",
        "outputId": "bde3eca3-ff60-421d-ed94-b4b1ef6c7a19"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "class Net(torch.nn.Module):\n",
        "    def __init__(self, n_feature, n_hidden, n_output):\n",
        "        super(Net, self).__init__()\n",
        "        self.hidden = torch.nn.Linear(n_feature, n_hidden)   # hidden layer\n",
        "        self.out = torch.nn.Linear(n_hidden, n_output)   # output layer\n",
        "\n",
        "    def forward(self, x):\n",
        "        x = F.sigmoid(self.hidden(x))      # activation function for hidden layer\n",
        "        x = self.out(x)             # linear output\n",
        "        return x"
      ],
      "metadata": {
        "id": "ynWj8kKf2NHy"
      },
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "net = Net(n_feature=2,n_hidden=10,n_output=2)\n",
        "print(net)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qiGBEii62iBf",
        "outputId": "f1f16775-cbf7-4f8f-c4f4-f96cef678907"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Net(\n",
            "  (hidden): Linear(in_features=2, out_features=10, bias=True)\n",
            "  (out): Linear(in_features=10, out_features=2, bias=True)\n",
            ")\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# loss and optimizer\n",
        "# softmax is internally computed\n",
        "# set parameters to be updated"
      ],
      "metadata": {
        "id": "zjP3kxKk2vUn"
      },
      "execution_count": 38,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#net(x)"
      ],
      "metadata": {
        "id": "PXCh7f0t6nJ2"
      },
      "execution_count": 39,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "optimizer = torch.optim.SGD(net.parameters(),lr=0.02)"
      ],
      "metadata": {
        "id": "64cqrR4J29X8"
      },
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "loss_func = torch.nn.CrossEntropyLoss()"
      ],
      "metadata": {
        "id": "UWDvWQHH3Fd-"
      },
      "execution_count": 41,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.ion() # interactive graph on"
      ],
      "metadata": {
        "id": "vuBY_IYH3LVw"
      },
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "for t in range(100):\n",
        "    out = net(x)     # input x and predict based on x\n",
        "    loss = loss_func(out, y)     # must be (1. nn output, 2. target)\n",
        "    optimizer.zero_grad()   # clear gradients for next train\n",
        "    loss.backward()         # backpropagation, compute gradients\n",
        "    optimizer.step()        # apply gradients\n",
        "\n",
        "    if t % 10 == 0 or t in [3,6]:\n",
        "        # plot and show learning process\n",
        "        plt.cla()\n",
        "        _,prediction = torch.max(F.softmax(out),1)\n",
        "        pred_y = prediction.data.numpy().squeeze()\n",
        "        target_y = y.data.numpy()\n",
        "        plt.scatter(x.data.numpy()[:,0],\n",
        "                    x.data.numpy()[:,1],\n",
        "                    c = pred_y,s=100,lw=0)\n",
        "        accuracy = sum(pred_y == target_y)/200.0\n",
        "        #plt.plot(x.data.numpy(), prediction.data.numpy(), 'g-', lw=3)\n",
        "        plt.text(1.5, -4, 'Accuracy=%.2f' % accuracy)\n",
        "        plt.show()\n",
        "plt.ioff() #Turn the interactive mode off"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "UKYsK7GA3VSX",
        "outputId": "ea052040-0019-4e4b-85f8-a6ecd30a0cca"
      },
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:11: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument.\n",
            "  # This is added back by InteractiveShellApp.init_path()\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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EASxmK+8M/JRzxxMB6PlYZyb/9QE9H+vMlQ1qUqdhLXo82pl+o3pxVaPaxFYuR52GtXjkg8E8MLafpj376sQBLLmeY/UWs4VPH//K7QeOzWpj/GNfYgugAEorKrSiUJRyUhJSNdn9r9NbdB3aEWOYEbOG1MC08xlExET4taea9aszeef7LJq8gtU/rCUtKYPKtSrQ5YH2dOjfBmOoMc/Wbrd7zLIBsORaWDRpOfeP7ps3/5OfPeRkd/H6RbIzspn03LdkpWc72QZKnYa1PF5f+9Mmr9k7CcfPs+nX7bTo4fQQHVTUE7lCUcqJvyJWk53VYuOXz5cSYnB9sJgfvUFPdHxgWRkx8dH0G9WLL3d9yPTDE7jj8S7sWL2bdwZ+wvS35nD+QlrhqYNnOHcs0et821ftIjc7l8ST58nOzNG0h7DIMHo/p10eQCuValbwevB6fP9JTXNptQsE9USuUJRybhvSjgUTl2m2z9+mzR1tet0ctIYNR/ce56VubxfI4V4zdyMzRs/hsY/vp2F7bQd+pw6eoVfc/ZhzLIQY9LTudTN9R/biyhtrerxvwKu9mTt+EZkp/oWKCmMKM/Li1Me9dkUKjdBWnRoaERqMbXlEPZErFKWca26qS5vezX26Jzou0u218Kgw+r10d6DbAiAzLYsRnUcXcOIXsVpsfPrEFI7uPUFs5XJe50pNTMecY8m797dZ63m61UvsWrPP431CCIwazwZcodPr8v7f6s5mfLTmLRq0vc7LXdDqrpu8FlbpQ/S0vKNowyqgHLlCUSYYMe0pug3tiD7Ee9gEoGrdK7i5W2MnR1O93hW8s+yVvHQ/f0k+m8KM0XN58Lpn86o3XSGlZPYHC+g6tKNf6+Rk5vLOwE+8HhhWq3eFX/NHxUby/dEv+Gb/eGaf/YrXfxpO3cZXarq36lVVvH7AdhjQJigiYd5QoRWFogxgNBl4ZtLDdHmoPU/ePMqrfcLxRA5sPYSUElO4kaubXsVdT3ahzd0tfFp35+97CnQhatGzGfWa1eHt/uNJTdSmeb53/d+MmPYku9ftZ8eq3T6tD3DuWCIbF22jZc9mbm26De3Erj88P7m7YtDr9xKn8QzCFS9MeZSMlEy2Lf/L6VrzHk14+vOhfs/tCyqPXKEoYzzVchT7Nhzw+b5KNSvw4R9vUrF6vFdbKSXjH/2SRZOXO10TQvhcsPP1vo+pXLsiCycuZ+GkZRzbdxKdXkeNa6tyZPdxr/c379GUV2Y9WyAbJj82q42Xe7zNlqU7XV4vnEceFRvJ4Dfu447Hu/j0fbhjx+rdLJ/2O8lnU4mrUp7OQ9pxfetrgzJ3ftzlkStHrlCUMTYv2c7L3d/2q8tOs9sbMXaR9yf6eZ/8yufPfOPP9pwIDTfx45kvCYu8pNpoMVvQh+hZOHE5nz7xlaZ5qlxZiXeWvswVdSq7vG7OtTD15R9YPGUVGRcOPo2hBtr1acXgN+5j95p9JJ9NJb5qLC16NnX7oVCaUY5cobiMWPLNaj594kvM2b5JtQoh+PbAp1S5spJbG7vdzuC6T3Lm8LlAtwnAzd2aMHrBCKdxi9nCyz3ecRmWcEe1q6vw1e6PPJ4V5GTl8vfmg9htduo0rEV0bOkTv/IXd45cxcgVijLG0qmrmfzidwWcuNAJKlSL85qvLaVk+luzCY8KJyImnLb3tXQ6+Dy272TQnDjA1U0ch4fpyRks/WY1O1bvRkpJelKGzyGiE/+cZv38zbS52/0hY2i4SVPWyeWEcuQKRRnit1nreP+Bz53GpV1qKroBWPbtpZL/GWPm0qJnU0ZOfyov9GENsoxsdHwUW5fv5M3eHwSlAnPd/E0eHfl/EeXIFYoygpSSb16ZGfR5//xlC2/d+yFjf30JgCuuqkxohImczNyA5xZCUP2aqrx+5zhysgKfD9AkP6CFo3uPs2L6GtIS04ivFkfnIe2oWKNCUOYubpQjVyhKKXa7nV1r9pGakEZ81VjsNjunDp4pkrU2L9nB3g3/EFelPFNGzQias6zf8mo2LNgSNCcOUOu6wHLgzbkW3rt/Ar/NXFdgfPqbs7nrqa48/MHggDoolQQBO3IhRHXgO6ASIIHJUsrxgc6rUPyXWf7d73z3+izOHLlUMRlfVVu+szHUkFch6QsLJy5j6/K/NLVeq1q3CtIuOXXI8weLlJJ1P2/yeS/u0Ifo6Tq0Q0BzfDj0CycnDmC3S+Z+vIjMtGykXXJ03wnCIkNpdedNdBrUVlOv1JIi4KwVIUQVoIqUcpsQIgrYCtwppdzr7h6VtaJQuGfBF0v55HFtKXmuuLZ5XaLjojj5z2myM3OIiAnn2D7vwk0VqseRcPy83+u6IyImnMzUrKDM9fD7gwISyTp16AxDrn7K5zz42CrleWfJS9S+wbPuS1FTZFkrUsrTwOkLf04XQuwDqgJuHblCoXBNVno2X42YEdAcFzNBhE5wY9v6tLu3FeMfnez1vsQT7kvtA6FCtTi/HLlOr8NuswOOxhl9R9xFu/taIaVk+8pd7NtwAJ1eR+NON1KvaR1Nc66euc6v7kNJp5MZ1XUsU//5BFOYNrGs4iSoMXIhRC2gEbAxmPMqFP8Vfpu1Pmja2tIu2bl6DztX7yHEGOIxG0UIgtpeLT8VqsdxZI/n6s381aL1W1xN/5d7U69ZHc4eTSA8KoxqVzu0VA5s+5e3+4/n+N+X+mJ+/dL31G9Zj5d+eMZr1WpGsv8KiYknk1g9cz1d7r/Vr/tPHz7L+VPJlKsYQ7W6VfzehyuC5siFEJHAXOAZKaWT2roQYhgwDKBGjcAOKxSKy5XTXmLOFwmLDCU7Q5tmN3hPKWzd62bWzA3+85fQCZe9RvNzddM6vDzrWdKTMoiKjaRK7UvFSjHx0Xl/PnnwNMM7vplXtZmfvev/5sUOb/D55nc8NsuoVCuwrJQNCzb77Mh3r9vPNy//wF+/XwpSXNu8LoPfuI8mnRoEtJ+LBEX9UAhhwOHEZ0gpf3JlI6WcLKVsKqVsWqFC2UzxUSiKmogYbRrhj340hJdnPUfv532MFxdKxgiPDqP/y3cz8vunqVA9+Cp9nlqshUaY6PFoZ95b+RpValfi6iZ1Cjjxwvw4br5LJ36RUwfPsOTr1R73075fa0xh/pfm+3qIvHX5ToZ3eKOAEwdH+GtU17Gs+Sk4H54BO3LhyNOZAuyTUn4Y+JYUiv8ube9t6TX1zRRmpHWvm2l7Twuad/exsa+E7g934rkvH+HlWc8x88QkhrzZB4PBQO9ng99pxxMdB7blqQkPacoGsdlsrPphrVe7Zd/95vF6dGwUg16/V+sWnfDlsNNut/Pxw5OwuHkbstvsfPLoZCxm3zOMChOMJ/JWwECgvRBix4X/ugZhXoXiP0eVKyvRvl9rjzY9H+tMVHlH44g4Nw2QPSHtktsf7EDbe1oUELLq9Uw37nzydp/n85c/f9ms2TY7PUdTgVLKWe/9Te998Q6e+nyoU/PosEjPnXyEEHQbpl1XfeuynQXSR12RkpDG2p8CT88MRtbKWpxe2BQKhb889+UjmHMtrJmzocC4EIKuD3XgwXf6541Vu/oKomIjSU/K0Dx/mIcn4IffH8T2Vbs56uVwMhgknUnhp48X0fn+dl6bQIdFhWo6FyjsnN3R45HbuP3B9mxfuYvUxHQqVIvjiqsq8UzrV9xKHTwwpq9b5UVXHN17QqNd4D9rVdmpUPiBxWxhzdyNHNpxBIMxhJu7N+Ham+v6PE9udi47Vu8hJzOXWtdVo2b96hhDjbz64/Mc2nmEFdP+ICUhlfiqcVxxVWXWzdtIj8iB2G12rm1elxvbXudzr8pb7nHfXOKPORuKxYmD483gi+emMu+TRby7/FWPTlKv19OhfxsWTnLWR8/PbYPbaV4/xBBCsy4FGyyPXz+Gb1+dxeof1pJ7obr1ygY1uW/4nbTv6/lNqTCm8OLr6alkbBUKH9m0eDvv3T+BlHMFX+Ova1WPV358XlO4w263893rP/LLhCWk50uJu771NTzx6YPUaVCrgP2MMXOZGgSdlYbtr+e9Fa8BjrgzkgKSsCNvH+22OUNRUvuGGkze+YHTuM1qA+Fw5KcPn+WJm0aSdt51Z6Lq11Tls41vB6UCMzMti3NHEwiNCPUo+euJxJPnGVD7ccf34AYhBF/v+zgvvdIb7gqCVM9OhcIH9m74h9fvGufkxAH2rPubEbe9hTnHu07Jhw9NZMbouQWcOMDutft5ru2rHN519NLYuv1BceIR5cIZPvUJ1v28iRfav04XQx+6GPvw4HXPsvjrlUgpSTqdEvA6/nB41zG2rdwFOPLZl3/3O082H0kXYx9uN/blxQ6vc/ivY7y/6jWuvNH5wLFh++sZt+LVoJXRR0SHU/uGmn47cYD4qnG07+/5Kb7lHU01O3FPqNCKQqGRM0fO8c6AT9xmIQAc2XOc1TPX0XmI+1zjvzcfZOlU92lyWWnZTBn1PaMXjARg/meL/d90PjJTshh5+xin0MmxfSf48KGJ/DJhKeUrxQRlLX/YsmQ7jdpfz7ghn7Fi2h9541JKdqzew47Ve+gz4i4m7XifXWv2sW/DP+j0Opp0ulFzNklKQip/zN5A2vl0KtaIp03v5oQFIbThjqc/H0pqQhqbft3udO2GW67lxalPBGUd5cgVCg3MGjefKSOnoyUSuXLGGo+OfPFXK73OsXnxdhJPnie+ahy71vjeVNgdnuLfB7cfDsrTob/YrHaWf/d7ASdemJnvzKNRhxto3OEGbmijvSemzWbjyxen8cvnSwt8EE94+mvuf6tvkWXrmMJMjFk4ih2rd7Ps299IPJlE+UoxdBxwC007NwyayqJy5AqFF1bPXMdXI6Zrtk9NcCpsLsDpw2e9zmG3S84eTSS+alye3khxcOKfU96Nioh6zeow56OFXu1+mbCYxh1u8GnuL56ZyvwJS5zGs9KymfD014QYQ+j+cCef5vSFhrdeT8Nbry+y+VWMXFHqOPHPKSY8/TWDr36S/rUe5bW7xrF5qecy76Jk5rvzfLKPr+ZebjYnK5e0JG1ZJhEx4ezbeMCn1MKySrmKMTTv2ZQDW//1artn/T8+zX3uWAILJi7zaPPd67OwWoLbGak4UU/kilLF2nkbGdtvPJbcS9Vu544lsn7+ZroN68QzE4cV635OHTrDvzuPejfMR5f727scTzyVxIjb3tKUX1z7hhpUrVuZAbUfx2pxn/VwOaDTCa69ua4mJw4OgS9vWC1WNi7axtmjCexZ97fXt5rks6lsXrKDFj2cEkLKBMqRK0oNZ46cc3Li+Vk0eTl1G9em27CiewUujC/CVOA4wGp5RzOX10bf96HmIpF+o3qxZs4GTU0e4mvE06l/G3b+vpf9Gw8UayhGC2GRoXS+/1Z+/3E9yS4qL+12yZ8LtvDngi1ElAsnM8Wz5G3D9p5DFCum/8GXw6eRdMa3DJxkH+1LEyq0oig1LJy4zK0Tv8i8T34tpt04qFyrAsZQg1c7IQTt+7Vm9IKRBfKyL7J/0wH2rPvb6zwhxhAeH/8A7e5rxY7VezTtMfFYInM+WECf/93JG/OGE2JwXh/Q9H0Em5j4KMYsGsXj4x/gx9NfsShrBvf97w639t6cuBCCO59wfzC5euY63h30qc9OHLRXhZZGlCNXlBq2Lv/Lq83RvSdIOBH8LjbuiIiJoO19Lb3avfHzcEZOf9ptHrOr9DNXDHmrT14GhS/FehazlXcGfMKNbeszbsVrNMp3GKjTCW7u1piP1rxFZz+1tP2hXMVoZhz9Ii+7xGqxMumF75j17ny/5hNC8PD7g6jfop7L63a73adD6fzEVilP087BkZQtCVRoRVFq8FQB549dsBjyZh+2r9hF4knXHXS6De3oNbaq9SBtxXe/c/bwObo82J4b2lzLkq9Xad5nVno2K6b9Qc/HOjNu+asknjzPwe1H2PTrNnav28+Yvh9Tp0FN2t7Xkt9nrXe6X+gEFWvEcfaIa60RX0lNSOPPX7bwx5w/yc7I4fS/5zh54LRfc4VGmBg54xla9nT/c96+cpdbnRRvDH7jPkIMZdcdlt2dKy47rrmpLod3HfNoE3dFeSpUC75uticqVo9n/LrRTHpxGuvmbcr7IImvGstdT3XlnkWiOE8AACAASURBVBd6ep2jbuMrNa11ZM9xjuw5zoKJy2h7X0ti4qNITXRdku6KvRv+pudjnQFHlei7gz8r0FTi1EFH4wqjyYC5UBhL2iVnjyQSUyGK1ATXa4ZGmNDpdWSlaehiJARj+n6see+eyMnMZePCLR4dubsPWq8IaOQl7q6VhBPn+WP2n6QnZ1C5diXa3tO8gMJkUaEcuaLU0POxziye4rlYptuwTi5j0EVNxRoVeGXWcySdSeb4/lMYQg3Ua1pH815a3tGMuCvKc/6U98PLi/w+az1t7m7O5iXbNUm4gqPPJTg+EN4d9KnbjJfCTjw/qQnpDHr9Xv7efJCkMylElovg6N7jJJ1O0bwP8NxUwh9W/bCWhz8Y7DZ8Va5CtMtxr0jHzyuQcnyrxcpnT0xh8derChw2f/HsNzw4tn/eh2tRoWLkilLDVY1qc//ovm6v39i2PvcNd39QVhzEVi5Pg3bXUb/51T59oOhD9Az/9kmfDxw3/bqN91a+plnVr3GHGwH4+dPFAaUtnjx4mtELRvL55ndJT8ooMQ2W/ORk5noMnTS5rYHfEgOBdA0C+HDoRBZ9ucIpYygrLZtPn/jKoyRDMFCOXFGq6DeqF2/8PJwb29bPG6tcuyIPvTOAt5e8jDE0sH9wJUnjDjfw8drRNLlN+6FabraZkwfO8OI3j3tNu4ytUj5Pona9D00bXHHsQprk9lW7OLj9sE/3GoxF96IfGuFeGjbEEMKAV+7xec7ouCiu96HcvzDH9p9k+Xe/e7T59rVZDrXJIkKFVhSljpY9m9GyZzOyM3Owmq1ElosImiZFSVOuYozXc4DCXMxlf/iDQRzbf4Jdfzhrr0TFRvLmz8Mxmgx8+9qsgHOiL2pkb1y0TZP9jbfUp/KVFbmh9bWsm7+JDQu2BrS+K+o2rk3lWhU92vR8rDO52Wa+e32W5jDQnU/ejtHkf2rmyunutWEuknD8PDtX76Fxxxv9XscTypErSi1hEaHguXFMmePHcfM1Ffnkp3o9h5BVWEQo7y57hdU/rGPRlys4dfAMETHhtLu3Jd0fvY34K2JZOWMN09+aE/A+W915E0CBg1JPdL7/1rzwz6lDZ3x25EJAeHQ4manu88jvfVFbWO2e53vQ9aH2rJ65nrNHzoHg0p8LcduQdvR/+W6f9loYV0VOgdj5g3LkCkUxYbPaWD7N8yt4YapfU5UG7a7L+9pgNHDb4HZuY+ZzPlwQyBYBx1vDxXzzOg1rabrnqka18/58+0MdmPXuz9g1HnaGR4fx2Mf3c1Wj2rzUbazTgbAQggfG9qPdfa20fQM48v/zi2ANfO1efv9xPX/M/pPMtCyq1qnM7UM7Ur/51ZrndEfcFdoKieKrutfgCRTVIUihKCbSzqdzd4UHNNsbTAbGLBpJo/balP4STpynX41H/N0eALGVyzFm0ag8x5yTlUvfag+T4aGdXP0WVzN+3ZgCY9PfmsO3r81yaR8RE86tfVtjCjVQ49pq3Nq3VV6KXk5WLqt/WMuGhVsx55i58sZadBvW0ademcXNqUNnGHL1Ux4LuCrXrsi3Bz5FpwvsWNJdhyD1RK5QFBOhkaEYjCEeG1Nc5PrW1/Dg2H5c31r7IZyWzkR5e4kw8cSnD3Js30kO7TyCwRRCi+5NubVf6wKNFkLDTTw/5VFG3/eRy0Ks6Lgonp3s/OEx4JXexFeNZea7P+cVAen0Opp3b8JD7/Sner2qrvcVbuL2Bztw+4MdNH8vJc0VdSrTbVhHt/1EhRA8OLZfwE7cE+qJXKFwQ/K5VEdxR1IGlWpWoPXdNwfcTWZs/49Z/cM6jzb3vNCTYeMG+jy3OcdMn6rDnNrHFaZu49q8s/QVouOiNM+9a80+vh87l63L/kJKicFkoO29Lej/cm+q1a3i9j4pJYd2HiE7PYcqdSoRf0XRhRdKEpvNxpQRM5g/YQnmnEs5+uUqxvDw+4PoOOCWoKzj7olcOXKFohA2m41Jz3/nEPHK9/QcERPO/aP7csfjXfye+9+/jvJUi1F5HdoLU6F6HBO3v0d0rHYnm5+Jz3/LXC/NGcavH+N3bDg1MY305ExiK5cLWn/My4m0pHTWzdtERnImlWtXpHmPJhiMwRMrU45cUeqQ0gzoEKJ0Rfg+eexLj40Inp38CF0f8v/Vf/uqXbzdf7xTFkPN+tV4/acXA2q3lpGSybO3vMKR3a5buvV6uhuPfjTE7/mDQU5WLn9vPoi0S+o0rEVU+cgS3U9ZQjlyRalASjtkz0VmzQDrXseg8WZE+GBEaMeS3RwOTfTBVz3hMeMitkp5Zhz5PCCRJYvZwpo5G9i/6SD6ED1NbmtAk043BiVfPj05g+9e+5Hl037PS+erfk1V7n6mW7FquRfGnGvhm5d+YPGUlXn7MoUZubVPK4a9P0g5dA0oR64ocaS0I1OfhRw3XeEjHkMX9UzxbqoQM0bPZeqrM73ajV4wgpu7NSmGHTlz/O+TzP9sCRsXbcWca6VOw1r0eOQ2JwXGgzsO8+O4+exetx8kXNW4Nj0euY1mXRoV+55tVhsvdX+brct2urxe+4YafLTmLSKiw4t5Z2ULlbWiKHmyf3TvxAEyP0eaWiKMNxXfngpxXmOxTlEWd3hi3c+bGNP34wINOJJOJ7N58XZuG9KOF6Y8hhCCNXM38Hb/8QVi/AknzvPnL1voNrQjz0x6uFj3/dus9W6dOMDhXceYN/5XBrzSuxh3dfmgtFYUxYbMmhEUm6JEa3FH+crlingnzpw7luDkxPOzbOpvzP9sCacPn3Vy4vlZ9OUKt6lyRcWiyd7X02KjcI1y5IpiQdozweq91RlmbZ10iopOA29Bp/Mcp46vGktTH4SvgsXCScu9tsL7+bPFLPh8qddc9Z8/Ldgyz2a1seanjUwZOYOpr8xk1xpnPZdAOL7/pFebxJNJ7Fq7z6d8eIUDFVpR+I20J0HWbKRlBxCCMLWC0J4InYs4p9D4zCBLtnFwxRoV6PFoZ+ZPWOLWZvCbfUpEE337yl1ebU4eOM3GX70LXV1smVehWhy71uzj7f7jC7TQmzFmLnWbXMmrs5/3KlSlhbCoMFIS0rzaPXfLq0THRXH7g+0Z9Pq9mtQuUxJS+ev3vdisduo1q6O5CtRut7N58XZ+/Wolp/89S0RMOG3vbcltg9uVudRK5cgVfiGzFyBTRwKXnp5k7lJI/xDKT0QYGxewFyIMaWgIlh2eJxbFf/hemMfG348x1MDPny0p8AQcFRvJA2P60cXPvpc2q42kMymEGEMoX9F33WytLe4Ka2J7sjuy5zijuo5xqRR4YOu/vNjhDSZuG0dETGDqZW163cyP7/+iyTbtfDqzxs3n7y2HGPvrKLd52NkZ2Ux46htW/bA27+9JCEHTzg14ZuIwKtao4HYNi9nCW/d+yJ+/FEy62L12P7Pf/4V3l70SUBpocaNCKwqfkeatyNTh5Hfily6mIJOHIW1nnK+ZNHRJsScgLfsD3mMg6HQ6hr03iJknJvHMxGE8MKYfI6c/xQ/HJxYQYtJKdmYOU1+ZSd/qD9OvxiPcW/khHr9pBKtneq7wLMy1Gop4YiuX47pW13i1i68aS3y1WGa+O8+j3OuZw+dY+s1vvmzTJT0f70J4tG9PuTtW7Xa7tsVsYVTXsSydurrAh62Uks1LdvDsLa+SdMb9wfWUETOcnPhFzh1L5OUe7xSpfniwUY5c4TMy8yvAwy+5TENm/eA0LITGcESud33n4iA6LopuwzrRd+RdtO/XBlOY+6YG7sjOyGZ4hzeYMWZugUyXf7YcYmy/j90KS7mix6OdveaZdx3akTufuN3rXN2GdcJmtfPH7A1ebVdM902x0RWValZg9IKRRMX6liu+cJLrwqzfZq5n91r3H/jnjiXy43uu3wCy0rNZPMVzU+uTB06zcaE2LfbSgHLkCp+QMhdyf/NumOMqxqxN2xo8H+iVJb4f8xP7Nx10e336W3P4Z+shTXPVuq46w95zr8FyY9v69B15F1c1qs0DY/q5tWt463XcO/wOstOzvR6eAppi21q4oc21zDjyOU99PpTWvW5GS+3T0T2uK1S99XYFWDZ1tcun6l1/7CUr3Xvz6A0Lg98co6hQjlzhGzIHj0/jeXYuGgSEXOc85gpDcDqalzQWs4UlX3t+8gNY8IV7OYDC9H6uB2N/HUXjfFWgVa6sxNB3C7bC6zvyLt6c/z8a3nrpZ35FnUoMGzeQMb++hNFkICImnLBI7yJgFarFad6fN8Iiw+jxyG28NucFwjUU/5jCXb8FnTns3CSiMOnJmWSmOP8ealGfBEdD5bKCOuxU+IaIAl0FsCd4tgup7TQkTC2Q+ivB9q/7+/TVwdgmwE2WDhKOn9f0NHtgm4efhwuadWlEsy6NMOeYsVpsbjMsWvRoSoseTcnJysVmsTodWIYYQujQv43XnPLO97f3aX9aaXlnM5Z/6zls0+ou18VhkeUjCmTZuCLEoCfUxQdVnQa1EEJ41A8HuKqh8+9waSUoT+RCiC5CiL+FEAeFECOCMaeidCKEDsK8N7gVYX1cj5cbB8JNnFREIGLec6xxGRBi0HYm4G+zYmOoUVOaXGi4yW3WSZ8Rd1GuQrTbe69qVJsO/Vv7tT9v9Hq6m8efUYhBz11PdXV5TUu3oFZ33eSyF2eVKyvRtLPnOgBTmJHbhrTzukZpIeB/McJxgjUBuB2oD/QVQtT3fJeiLCMiHoCQuu4NTG0h1HWGijDciIibDaE9gYs5wgYI7Y6IneWUtliWqVijArWuq+7VriS0Ty5SqWYF3l/9OvWa1SkwrtMJWt7RjHeXveLXIa8WrmpYm1HfP4Mx1NnZGkMNjPr+GbdPxd2GdSS2ivsqXIPJwH3D73R7/cnPHnJ7v04neHbyI0SWKzsNYwMWzRJCtABel1J2vvD1SAAp5dvu7lGiWWUfaU9Gpr8L2YuAC+lrIgbC70VEPo0Q3gs5pD0LZBqIaNdFRJcBi6es5MOhE91eD40w8c3fn5SKhgt/bznE35sOog/R0bjTjVSpXalY1k06k8zir1bx1x97ALjxluvoOrQD5St5lkE4suc4r935LqcOnS0wHlU+ghHTn+am2z1/QJ47lsC0N+fw28x15GQ5focbdbiBPiPuonEHbe31ipsiUz8UQvQGukgpH7rw9UDgZinlE4XshgHDAGrUqNHk6NGjAa2rKB1IezJY/gahB8MNCBFYB53LkS+encpP4xc5jYdGmHht7oslUu5/uWCz2di4cBtblu7AbrNT76aruLVva0LdHJK6Ijszh6TTyUTEhFOugu+FWsVJiTvy/KgncsV/jd1r9/HLF0s5tOMIIcYQmndrQreHO1GxenxJb01RhihKGduTQP5AYLULYwqF4gLXt77Wp0bKCoUvBCM9YDNQVwhRWzgCo30AbaIKiiJH2pOQ1iNIe0ZJb0WhUBQRAT+RSymtQogngKWAHvhaSrkn4J0pAkKatyEzJoB5LSABAzK0CyLyCdDFQvZ8pO0EQhcFoV0RIXW8TalQKEopqtXbZYjMWYVMeRLXpe6hgB0nwStTF0S5dxGibMl3KhT/JVSrt/8IUuYiU0fgXq8kx/Vw7hJkigVR/oui2lqxIGUOZC9C5iwEeyroqyLCe4PxlqA0NlYoSiPKkV9u5PwKMsW/e3NXIi17EYayWc8lbaeRSUPAdvjSoHW3Qyfd1A7KfaYpv12hKGtcHrXQijykJbAWXTJ7fpB2UvzI5EcLOvH85P6GTHdbo6ZQlGmUIy8hpOVvZMYX2NM/Rmb/ipRBkm4VrrupaMbuWoxf2tORtpOOasxSiMxdD9a9no2y5iLtqZ5tFIoyiAqtFDPSnoJMeR7May6NAaRXgOjRiFD/2ohdRJjaITO/9H8CfcH2VtLyFzLjiwsa5DbAhAztioh8HBFSI5CtBhWZu1qDVQ6Y10Oo98YLCkVZQj2RFyNSWpHJDxZw4nnYE5ApTyDNgWXzCGMzMPirEyEQYb3yvpK5fyDP94PclVzSIM+FnHnI872Rln8C2mtQkRo7r2u1UyjKEMqRFye5K8DiqRO6BZnxWcDLiHITQH+l7zeGD8h7ypbS7L4vJzh6c6a95P8mg4wweO9TCUCIRjuFogyhHHkxoukg0fwn0nbWu50HhL4yIv5nRPRYMDaHkHpgutXh4GM+B321QjdEQMTjiKiXL43lLAF7kueFLDuRllJS+xXaw/F9eMLQGGGoVzz7USiKERUjL07snjuaOJAOB6oPTEJUiFAI7+3Ioc4/DsjQ9mD+E2zHHR1/TO0QuoJOULODtuwGg7YWbtKeAdk/I617gBCE6RYwtdfelNkDQhcJ0aORqS/gshWdKIeIfjPgdRSK0ohy5MWJTotz1jlaqRUhQujA5KXDitD4q+EiS0aatyGzvgfLTkAPptagrwkZH4LMvGSXPQt0lSH2m6BIBIiwbqArj8z8AswbL4waILQzIvJJhIv2cwrF5YBy5MWICOvlKE7xhKktQl/y0qbasl8EUkSRv17Snv4RZBaqDs3y0JPSfgaZ2AMZ8x66sG7+bvfSjkwtEaaWSNs5R9MKXQWErnRrTCsUgVImHLmUVshdgcxZDZgRIfUh/G6EruS7qviEqa0jZm3e4Pq6CENEPlW8e3KDMDZDhlwP1t0erCSkPIGMGoWIGIzMWeLsxDVhhdRnsWd85OjnabgBEd4PYfBf9lXoKwIV/b5foShLlHrRLGk9hEwe5ojnFsCIiH7dKQZc2pH2TGTaK5CzmAKxXH1tRMwYhNFJD6fEkLZTF0rej3ixFIi4Oci0MWDZFrT1ReSziMhH3eztPFi2Iu2JYDkI9hOACWG6FcK6IUTR9JlUKEqSIusQ5A9aHbm0ZyATu4H9tBsLgSj/pePQrIwhbacdRTYyx5FVYmwRVFEnaTsP2bOR5g2AHQxNEOH3IfSVfZvHnoVMvN3D38EFTN0hd6H/G3aDKDcBEdop337SkWlvOjRl3AmD6Sohyn+lMlQUlx1lU/0we54XByKRGZPKpCMX+ioQ3rdI5pY5q5Gpz4DMvjRo3oDMnAwxYxBh7ruLO2P37sQBzFt93qcWZOY3eY5cyhxk0mAv4R7AftZReBW/xJHNolBc5pTqPHKZs9i7kWUz0pZQ9JspI0jrIWTKUwWdeB4WZOpIpDl44Y8C6IugZN+yBWlPd/w5e653J34R+znHg4BC8R+gVDtypMb2ZPlS2koz0nrY8bRs3uw4wC2KNbKmAbkeLGzIzG80zyd0kdqqIU3NEEX0hnExhCKzfvTpLpm7rCg2o1CUOkp3aEVfE6z7PduIsCLPuw4UadmLTBsLlk2XBnWVIGIoImJQcBfLWeHdJncVUkqvMXlpPQrWv8Fwk9e/BxE+ABlSFzK+cKT9BQtdHNKei9ABthO+3WsvGx/wCkWglGpHLsLv9Z53HdrNqSqxNCEte5FJ/Z3fGuxnkemjkfYEdFHPB3FBT0/jF7Fc+M91kwVpPYRMe8tR/cnFw3CR788FEZHPI4wNIXseMphOHBzVsIntsBtbgwgFma793hA/9GYUijJI6Q6tGFuDqYv767qKiMgni2070rwZmfEZMuNTZO6f2u5Jf9tz6CfzS6T1WJB2CIRc5d1GX8ttpxxpPepQPDSvp6DjdpfdJOBCVabMmu3TVh23l9NgJB2Kkd60XwpPHd7H9/0oFGWQUu3IhRCIch9CxDAQ0fmu6BwiULEzHdkfRYy0HsaeeAcyqT8y4xOHI08ejD2xq0cpV2k9kq9U3B12ZLZvsV9PaHFeIvw+t9dkxscgXTeXcHOH4x5wkeuvAX0lhwaKJrVGG5p/ZcN6l6qcfIWiKCnVoRUAIUIQUS8gIx93pLhJCxjqIQo1QCgqpO08MmkQ2F0oEloPIpMHQdzPrvOzvRbSXJwnsCfyS5Wvy8Ce5cgesbmZ09AYwvu7nseeAjl+HBBa/0FadoMu2vXPyRPSigjvgwjvg/38YLB4e9Oxgyjv/sNGVxERPtDx4e8n0rwTbCdBFwPGmxFadWcUihKizPyGChHmEF8qZmTWdM/OyZ6EzJyKiB7hfE1ozGEOIMYvrceRyQ+57lUpwkFeaM0mYiDsbkTU0w5lRFfYTuO2yMYb9kQwNATrAR9vtGLPmgdZ07SnFkY8jNBXRF6M4YfUg5A6CBEJhuv9drwyd50jFGbN95alqwgRjyAiBvg+n/UY5PyCtJ9H6CpB2J0+F2QpFFooM468xMjRoCGePQ+iR1x4Ml6JtPwFGMDYyqHuZz/j8XYR6uEcwANSmh2FL+6e/GUWRDyBCO1wwdG5ceB5G4nyax+AIytH6xtIfmxHIe1/vt0jQIR1R4R19309N8jctQ4pCAqlhdrPIdPfBJnuVi7AaS5pRaa96sh7v3C2IAEyxiPDByKiRga1ilehUI7cG1o0xGUy9pw/IW14waf3zM9B5yUEFHI9GP2sTM1Z6t155iyCyCc1OQ4RUg0pov1IH9T558T9xdQ56FPKtNE4OfH81zM+g7B7NClTyrS3IHuOiys2yJqKFGGIqGf936xCUYhSfdhZKtBpUNAT5SH1EdchGPspIBpw4UhDrkeUn+T305nM8ZKaCY6Qi7dc/AvYzVv8zAG3e76sC+KBtL4mupCqwZsPHH1SbR6kdgGwQM7P3ueynQFvh9dZUy9VqyoUQUA5ci/kb0bsFl2sm5L4i6ThMn0v5BrQxfm7Ne0VrRfj5J5MrMcg+Qn/9+IJLVotmtBDuU+CNFc+NGbbyJzfHDrnnsj5FZcdigpMlA25y7XtTaHQgHLk3gjv69zjMj+6io44rz/kzIHMSf7dC6Cp443eqwaKtB5DJvUBqTFP21tvzKJAVx0RNwddABrlbimQ2uoByyZkQjvsKf9DuvnglvYUbXNptVMoNKAcuReErhwidjoYmjlfNDS48ITov26KzPoOKd10qve2tzD3+eB5mNoj9J4lDGT6O46sE62UgLaNiHocobE3qM+YWmnPMMIKOfOQyY/hSgJac1qsPrjhIcV/G+XINSD0V6CLm4GI+wUR9RIiahQibi66uNkO5yLC/J/cfh7M2/3bl6EehA/xYFAeEfWixzmk7SzkrvZr/eJEZnuOT0spkbYEhw67zxgBHxtAm9eB+Q/n8dBujrRPT+jiwHSrb+spFB5QjtwHhOEaRMRgRMQQhOEGx5gwOf7xBoSn+LpndNGjEFGjHGmOl0YdjiL2B7DsxH7+XuxnrsV+5nrsyQ8jc9dfMrUewWtMNz8hRRDa0IKb7CEprcjMr5GJnZAJrZAJLbAndkdmzXL5xOwS8zqQqT5vSWb/5DQmdFGIyKc93iciX3QrkaBQ+INKPwwCIuIRZM4KkP7EPXWg16CP4nH9IRA+ECx/OQ42Q64EXSVk6ovInAX5LG2QuxqZuxqi/oeIeFB7TBcch7ORz0HK0ID26xe6Sk5DUtocud/mtQUvWP9xtNOz/IWIGeN9bqt7mQWP2FzXB4iI+0GYHCmL+UNWuiqIqOcQYXf4t55C4QblyIOACKkBsdORqSMKVSdeTCv08GRobI0I8XCYqnUPQg/GRnlfy6wfoIATL4hMH4fUVYDUN7UtYOqAKDceMCD1tV1XkhYhrrKHZOZkZyeen+zZSFN7R0GUR/zs7+mh+bcI7wdh90DuWsfbhL4SGFs6/p4UiiCjHHmQEIarEfE/OXQ6rLsBvUO9MXeZ4zDRFbpYRPRLRbIfmTXdmwWkvQFoyGfWV0eU+wQhDI6vY8Yhk+/X3vgjUAw3QuhtzuMZE73eKrO+B+PNgETo3FSuht4K6aPxmg9fCG9P1kIYHHMrFEWMcuRBRhgbgLHBpYGQBxxhjsyJjiYNABggtCMi8jlESE2HZnnWNMj944Io2HWI8H75elVaIGeZIyZrPwe6OEffzdCuLmOt0p6iTfNEi7a3rgKi/NeXnPjF7zHuR2TGRMhZAviRdSPiLqQ7XnxbCQVhcN5TyHVQbpLT92k370LT2YJ5HfJcYwBkSF1EeH8I64MQl46HhL4qMrTLhRxwjYRcD6aO2u0ViiJEaD4QcnWzEO8BPXD8Sz4E3C+l90Bx06ZN5ZYtW/xet6wirf86Uvf0VREXXstl9jxk6ihcHjiG3Q2RIx0xaYuLzJaQaxDlv0HoCxYVSXsq8pyLdEl/CO2Hrtzrbi9LmQ32VGTKCwU7IHlEICpucMTzLftAGJBSQOrTrlMbja0uVMBecub2jG8hQ0P82xWhtyNiPirgzKU9E5nyKJg3eL/f2AJR7qO8v0OForgQQmyVUjrpMwfqyG8DVkkprUKIdwGklF4VkP6rjrww0vovMrE7HvPQQ64F6z73140t0MV+6zRsT+yR7w0gQMJ6IaLHFnB8hZHm7cikgWh6Oje2QRc7Je9Luy0dEloBOe7vCX8AXT6FSZk5DZn+lobNuyFyOMLU2qGHrivvmFPaIfd3ZPa8vDcfQnuAzAHbAYfomKkDwlDf/3UVigBw58gDCq1IKfOLV28Aegcy338NmfU9XouJPDlxAPOfSMs+RKGKRxE+EJn2cmAbvEj2T0gRj4h+wa2JMDaC8pOQqS9d0JdxhwER+VjBoeQH8OjEAbLnIKOedsgZAxgDfOPIGIfMGAeEIE0dHfK+IXUg9FaEimsryhjBzCN/AFjs7qIQYpgQYosQYktCQkIQly3DaHmN10Lub85jYfc49MHdIKJeAWNz7WtkfYu0ez7cFKZWiAqrIGYcCBdiY6Kc49DU2CRvSOauA+tO7+vLNLBcyggShmtcV9v6jBVylyDP34e0aBMXUyhKG14duRBihRBit4v/7shn8xKOR8sZ7uaRUk6WUjaVUjatUKF0d70vPnzLknBH/hJ/Ke2OBgkpT4Jlh5s7DGC4BqLeBJ13WVYHuZD7u1crIXTowu5ElP/4wgfJxRRME4R2hkJl9jJrlsb1AVnw5yXKjfOsg+MLMg2Z9npw5lIoihmvoRUppcejjkO8HQAAGVtJREFUeSHEEKA70EEGEnD/L2JoDNaDAU9zMawisxch098H+0kvd1iQKc86DhZ90U3RaCtzliBTnqNg2CgXsmchc3+D2B8u5c7btH7/JseHTz6EvirEzYGs7x0ZPbYzjtxuEe3DvPmwbHMZplIoSjsBhVaEEF2A4UBPKTVopSoKIML74VKnPD/eMiN0lcDUAZm9EJn6nAYnfgH7Od/Fr0JqeTWR9gxk6kjcxv7tZ5Gp+WL3WnVqQm9D6GKchoUuFhH5BLoKq9BV3ouu4lpEzNt4/bm6w98qT4WiBAk0Rv4ZEAUsF0LsEEJ4r9BQ5CEM9RFRw90bmNpBuQkeZGNNiJh3AYlMd/y/6BCOatCs2Z7VGrN/9v4BYVmPPekBpHknwtRJw9phiOhXte/U2OCCvR+/3sLPKk+FogQJNGslMJEQBSLiQQiph8z8xiHehB1Crr5Q4n0vQoQgY2chMydAzgoczZH1jrREU0fQXwG5a3zvXu8zEix/OfqRZnyKLD8ZXaFQB4C07tE2nXktMmkjxLwFopxnnZqYMS6fxj0hwvuDoZGjwtW8AezZIL0oI4owMLYsMCStR5DZsx3iYiLS0V/V1NZjKqZCUdwElEfuLyqP3DVS2gCbW2U8u/WMo5Q8dxWXQhcC9LU1tCoLNgIR/RoivJ8j28N2AnQxyKyfIWe2D9NEQLnPIfVZsBdubKFzNCqOGByUHdsT7wJPHzThg9BFXwr72NPfg8yvcHrTCamPKD8ZodfQBlChCCJFkkeuCC4OQSXXokpSmiH1GbBsK3ylBJy4Y12Z9gYyYyrYj1waFuV9nCYTYT0I8SshZz4y9/cLMgX1EWF9giIodmlrXyCT7gfbIeeLpg4Fwlwy81vI/NL1RNa9yOSHIe4nv/utKhTBRDnyskLOIhdOvKSRBZ04gEz2fRbLX+giBkJ4vwsHwEWD0FeG+PmQsxiZvcChQa6vigi754IyocMpOzTOv/I8mXUPmNeA6Rav60rrv47mHTIHQq52dG1SKoiKIKIceSlAWg8iM6c5HIO0gOF6h2iWqc0lmywfwhVlDVF8v4ZCGCHsDs/KhZbtms4cZM4ShAdHLu1pyNThF0Jh+dBVdsT98/39KhSBoE5sShiZvRCZeAdk/+CIM9vPQu5KZPKD2NPeuGRo05hWWJowtkJLGqAwti76vfiClwrWPDxk5ziaXgx1duIA9jPI5EeQfrb4UygKoxx5CSKtR5Cp/8ORieKCrBnIrLkXjP1vB+cZHYT1A10RHNzpq0BYXy/LV3GtNV6ShNTWZqev5f5a7krXipV5WJAZn/qyK4XCLcqRlyAO0Sw3TjzP5ltHVohfbeQ0YGqPLuZ1RPwyRPQb3hsH+4KIRESPcK/pootDlJ9YQOu8NCBCal1oRuEJnSO27gaZPc/7QuZ1jubXCkWAKEeuAWnegT3leeznWmI/1xx78qMOsadAMWuYw7ofmfVd4Gu5QZgcbdCELhwR3tdlb0y/5w7thhChiPJTEDEfOhy6rgqE1ENEPouIW1hqy+FF1EgPhVhAxCOeM2rcNIsuiNRop1B4Rh12ekFmfodMH0OBXOLclcjclciIh9B5qsz0OrkXCduLWI/7v4ZHQiG0kJSOvlpw+nEamjo6CXGh5VlYd0RYd7fm0rILmTUDzNsA4WjeEN4fYagb+F78QBjqQ+wMR8Ws+c9LF3RXICKHOgqOPKHTIgwnfBAtUyjcoxy5B6R5p7MTz0/mV0hDA0RoZ/8WMDT07jRFlO+52VoxNnbSOhHh9yDNawKb90LIREqLQ2LXdgJEDIR2cFmhKTMmITM+KDiYfRiZPQui30KEl4zMvTDUR8R+i7QeA9tRxxO6oYGm1EER1guZu9yzkbG1KipSBAUVWvGAI6ThufJVZvof9tCUMy3TQRaRfrt5PTL5IaTMvTRm6gjGFv7PqauCiF/k6LST0A6Z8jgy/W1k2gjkuTbY099zdOK5gMz9w9mJ52FDpr2CtGgs+w8y0rIfmbPSkUlkbIUwNtae/226FQxOBXj5DRCRTznWsScjMz7Dfu5W7GeuwX6uBfa0sUibpwYdCsUllCP3RP5XandYNjuePP1AGBvk/WP2vMZW0Ff3aw2vmDcUyJ4QIgRRfiKE3Qv4cAgpwiBiGCJ+Ppg3IlNfAHvhD6AcyPwSmf5m3ojMnOplYltAH5b+IM2bsCf2Qp7viUx5FJnUH5nQAZn1o+Y5hNAhyk8GUxec/pnpqzlK/I0NkLYzyPO9kRmfXFCutDvi5llTkYl3Ii17g/q9KS5PlNaKB+znmrvQ/3BGVNrtVh/FG9KehjzXHK8t30ydwHbKhVZICIT1BhEK9kRHBaivKoiiHKLiGkQh5T979q8OWQAthD+KLvpZR2OLxE5g8xTX1yHil4G+GvJsfbw22NDFo6u4Xts+AkTmbkAmP4i7bCIR+SIicqhvc1qPX6rsNNQDY5s80S170v2eD7311RHxy5VIlwJQWiv+YWjkyAf2RMj1fjtxAGyn8erEAeznEHE/OVLWcpaCzEaEXAlhvQvEWe3plS8IPfmATAHrISjUVFjoYjR/JAjD1Y4/mDd7ceIAdmT2vAu9OzV0SdJ6KBwEZPpoPKWEyoyPIfxuhDed+HyIkOoQMsh5Lush75lLtuOOzkyqj6jCA8qRe0CED0B6ceQifEBgi+iiNG4m0qEFYmrt6P7udrrhSFEOmTnFL92TAhgagogE6aXSUURA6AVdca1yullTkbbjoK8BtmNe9nGDtjkDRJq3a2gsYYHseRDxYOALmrW9lUrLZtUQWuER9b7mAWFqBf9v796jo6zTA45/n5nJZCYkIXLRsiRKNJoCgVS6QQ6w9QaCCCilhSDCUTm6LqhocS27WJZ1L162Cqvi6nZVrJcEiy2oVVg9QrvWCyCLUlgpuICQ4oqNQC5MQmae/vGGcJvMvEkmGSZ5PudwDvPOb37v7+Xy5J3f+/s9T7cYX6MDEyE4qW3n8H4L0orjtwuMc99n5q3I2b+DrB+Bx0X2QE8P8J2eWl483ZwizvFk/+z4txJPT3eD1BoIvRY/iOPyoXAihPe4aqYN7trF5zZzomVYNLFZII/Dk/V9JOdxSBt6/KCvCMl+AOn+i4SkMZVu3yPmf1ZvHsRYgx1V6LdQ9TOI7IvfNji12ekhyZoH/uaSO3khaxGe4Ak/ZPzDnKRQiRKcggSuTFx/sUimu3Yel+3i8ZfgLhdNSWLOZzotm1pxQQJjkMAYVBuASNvmxKP2fwVk/xg9/BNOm5/1nu+scHBb25ITc7i4mFv2j0Qy5zQ/NvHDWb+G0BpnXXfDH0H8kH450u27iLf3Ke29kHkneviHrscLOFMseCC823ntK0QyZiIZLr4RJEr6SKdwsx6O2awl345i9uPLR/0jnayXzfGeB/74qXJN12aBvAWkHdOtSkapkzyq9lW0YTuI39k+n35Zi3NXu8nhAulOXcvgdXFznYh4ITgOabzzVj0KodfRg3c4D+wkAwJjkIwbEN+5zgYerUWrF7sv8Bz+As7+FMGp4d2Sh4mJIhKAbjeh1b9svpF/JJJWlLhzdv85Wjnj+A+wE3l6IDmP2YoVE5ctP+yEIl9PgIbtcdtJ7/867Y46Fj261SnIEHoTIl9G6TADyXkSSXfqXmqkGkJvood/Do0BOuZ4zv69My+fRKrq7OatfYHTlnH6hyE5SxG3D6jdnjNyCGrL0COvOktMPWc5OdMzZjjFMIxpZMsPOxFn6/t/OitEPD0b79pPXAMedtmTu3YaqUIPzoX69+I0rEUP3gG91yGeLMSTCRlT0Lq18Zdxes9PehAHEBEk+z404wan6HK4wllnHxyP+GPt1GzDOT3dIfM2JPO2dunfdH4WyFOM1q5Aqx91Nv8cIzmQ+T2k203O67S/gIadsTvy9HWdg1wPzob6j1wOsKpxed7xddOScb2LZZwdtDLFJfH1Q7K+n+xhGOOKTb6lEK19xXmIeGIQB9CDTj6T6qcBd0FRMkpdzb1q3Ufug/ixz5yS2kDSvwOx1tunXwpnWCA3JpVYIE8RqvVoVXPJpRrb1DyJRg4jaUVI5t8139D/Heh2s7vzhl5vyTCPfeq0I57shUj3h8A38PhB73lI1nwk51ft+iDZmM7O/vekirp34+/U1CNOrpWMac58q68QrV12PPmXN9/Jo50xzX1VnsihFg9V0i6Ofjw4CQlOQiMHgQjIWQlZh29MV2eBPFWE97tqpuH9TVtMJHA5Ergc1XrQBsTTijJu3m+1+CManBhzm4t4clo+DmNMs2xqJVV43BWXkCjtRPytC+LQig056Xi8fVp1LmNM61ggTxXpo2LXkATAB4FrEnpa8RVAcJr7DwT/OqHnN8bEZ1MrKUI8mdDt5pOKQJwmY1q7lA6T7B+hnh5QswyIsVNTshGXD1Gj0br3nWWKGkJ8F0FwEuLJbnV/xnQVFshTSbfbQeuh5llO3oLvhYypSFYL85u4JOJBsuai3W5Bj6yAmn86PV2tNxfpvhjxndfi/jX8JfrNbGj47+PHAKofhax/SFrNTmNShW3RT0Ea/hpCr6HhPyGenhCcgHTwvLTWvd+4Xlyd3aX1f4CjHwIRSBuCZExH0i+J34/Wo/93XYwNTILkPGX5uI2h+S36NkeegsTbC+l2M57sHzi5x5PwcFHSh+PJmufkU696COpWOvlXIl9B3Wr0mxlEqh6N31FoTZxdqIrWLE3YuM3pVq5ciYjw2WefJXsoCbFgwQLy8vLIzIydbviBBx6goKCAwsJC1qxZ03R89erVFBYWUlBQwIMPPtjew00IC+Sm1fTop+jhH9Nsubaap9DQ27H7CP17/BMd/RRtiF+AwrROWVkZI0eOpKysrN3OEQ67zf/TdhMmTGD9+vUx22zbto3y8nK2bt3K6tWrmT17NuFwmHA4zJw5c3jrrbfYtm0bZWVlbNt25hfAtkBuWk1romQIPLVN7T/H7sTthqM4OcJN61RXV/Pee+/xzDPPUF5eDjhB95577qGoqIjBgwfz+OPOA/YNGzYwfPhwiouLGTp0KFVVVSxbtozbb7+9qb/x48ezbt06ADIzM5k3bx7FxcV88MEH3H///ZSUlFBUVMStt97KsWndnTt3MmrUKIqLixkyZAiff/45M2fOZOXKlU39Tp8+nVWrVrm6pmHDhtGnT+xvqatWraK0tJT09HTy8/MpKChg/fr1rF+/noKCAs4//3z8fj+lpaWuz5tM9rCzC9P6TxqLRewBTyYSuBoC49wXzjglp0r0Nh+herT5naTeXDj6cZxOvOCxtentYdWqVYwdO5aLLrqInj178vHHH7N+/Xp2797N5s2b8fl8VFZWUl9fz9SpU1m+fDklJSUcPnyYYDB2sZOamhouueQSHnnESS0xYMAAFi5cCMCMGTN44403mDBhAtOnT2f+/PlMmjSJUChEJBJh1qxZLF68mOuuu45Dhw7x/vvv8/zzz7N9+3amTp0a9Xzr1q0jJ8fdZrOKigqGDRvW9Do3N5eKigoA8vLyTjr+0UctyzWUDAkJ5CIyD/hHoLeqfh2vvUku1Qh6+D44suLk43VrofpJOOtZxOei1qebCkROz82+Ixl/i4bi3PGkX4F4XdYCNS1SVlbG3LlzASgtLaWsrIxdu3Zx22234fM54aFHjx5s2bKFPn36UFLilJ3Lzo6/LNTr9TJ58uSm12vXruXhhx+mtraWyspKBg4cyGWXXUZFRQWTJjm1bwOBAACXXnops2fP5sCBA7z66qtMnjwZn89HYWEhmzdvTuifQWfQ5kAuInnAVYBNYqaKml+dFsSbhHej39wCvd6IX5ko7eL4ecZ9/WPe4Yt/KBq4GkJvNdMgG8m6O/Y5TKtUVlby7rvvsmXLFkSEcDiMiDQFazd8Ph+RyPFnJKFQqOn3gUAAr9fbdHz27Nls3LiRvLw8Fi1adFLbaGbOnMmLL75IeXk5zz33HEDC7sj79u3L3r17m17v27ePvn37AjR7/EyWiDnyxcC9xJssNWcE1Xq0Js68dfhzqFsXty/JmJ6YNt0fgYxZp+9cTRuC9HgRpBtavZTIofuIVD2Cxsu1blxZsWIFM2bMYM+ePezevZu9e/eSn59PcXExTz/9NA0NzjeuyspKCgsL2b9/Pxs2bACgqqqKhoYG+vXrx+bNm4lEIuzdu7fZh4zHgnavXr2orq5mxQrnRiIrK4vc3Nym+fC6ujpqa51qUjfeeCNLliwBnGkZoOmOPNovt0EcYOLEiZSXl1NXV8euXbvYsWMHQ4cOpaSkhB07drBr1y7q6+spLy9n4sSJLf2j7XBtCuQici1QoaqfuGh7q4hsFJGNBw4caMtpTVvUb4yfRRHQunfitpH0kZBxU/MNAuMgGH8zj4gPT/bfI71/55RS6/4o0vN1pEcZemQVeuAKp47mkVeg5mn063FEDt6Fal3cvk3zysrKmqY0jpk8eTL79+/n3HPPZfDgwRQXF/Pyyy/j9/tZvnw5d9xxB8XFxYwePZpQKMSIESPIz89nwIAB3HnnnQwZMiTquXJycrjlllsoKipizJgxJ931v/DCCzz22GMMHjyY4cOH8+WXThnBc845h/79+3PTTTH+jUVx7733kpubS21tLbm5uSxatAiA1157rWmOfuDAgUyZMoUBAwYwduxYli5ditfrxefz8cQTTzBmzBj69+/PlClTGDhwYIyznRnibggSkXeAaIUDFwA/BK5S1UMishv4tps5ctsQlDwaWose/G78hoFxeHKWxO4rUg3hvWjdh1C3Bo5uct7wFTp34sEpbSocrNVPoNWPxRjjBDw5sXO0m9RVW1vLoEGD2LRpE927d0/2cM4Ira7ZqaqjmulwEJAPfNKYUzoX2CQiQ1U1SmVec0bwXQAI8WbCxHdRs+9p+Cu0eomT+1yPNPZ7IWT/FAlOQCT2agY3NFKD1jwbu1HoDbThDsTXr83nM2eWd955h1mzZnH33XdbEHeh1Q87VXUL0JShqSV35CZ5xHcu6h8Rp5CyD4J/g+oR0AaQzKYCEBr+Cq0shfC+kz/SsAMO3+fkQ8+a2/aB1v0HaHWcRur8MMmc0/bzmTPKqFGj2LNnT7KHkTJsQ1AXJNkLnILNzQlOQg/NQ/9UjH71l+jXo9GaZ46Xmzs1iJ+oZmliHka63ACkrahgZExnk7BArqr97G48NYjvAqTnKxC4mpO+lPn+HNKvgSP/cnLB5fAXaNVDaOWNEHozbv9aW972QXrdLfkSr5v17sZ0brazs4sSXz8k55dopBLCFc7SPw05mQibc9TlA+qG7W0foH8EePpCpCJGo3QITmj7uYxJcTa10sWJpweSNgjxnY/WvpSgXtPb3IOIB8meT6x/opJ5e9TSdsZ0NRbIzXFH424HcEUCURc6taKfMUjOY+A9pViFpzeStRDJdLGM0pguwKZWzAnibMl3w9MbAomb7pDAVZA+Go5ugPD/OkWo/cObT8JlTBdkgdwclz4CGv4Qu43vQmf+unbZ6e95eiNn/QbxxCsS3TIiAv6hCe3TmM7EArlpIsFpaM3znFwP9JQ2GTOQjFI0eK2zOqVhB0gACYyGwLVOkWhjTIeyQG6aiC8Pch5BD84jajAPliIZpU7btIFI95907ACNMVFZIDcnkcBY6HWhs4Klbh3oUUgbiGRcj6T/VbKHZ4yJwgK5OY34LkCyFwILkz0UY4wLtvzQGGNSnAVyY4xJcRbIjTEmxVkgN8aYFBe3QlC7nFTkANDZkw33ArpiNsiueN12zV3DmXDN56lq71MPJiWQdwUisjFaSabOritet11z13AmX7NNrRhjTIqzQG6MMSnOAnn7+XWyB5AkXfG67Zq7hjP2mm2O3BhjUpzdkRtjTIqzQG6MMSnOAnkHEJF5IqIi0ivZY2lvIvILEflMRD4VkX8TkZxkj6m9iMhYEdkuIjtFZH6yx9MRRCRPRNaKyDYR2Soic5M9po4iIl4R+b2IvJHssZzKAnk7E5E84Crgi2SPpYO8DRSp6mDgf4AfJHk87UJEvMBS4GpgADBNRAYkd1QdogGYp6oDgGHAnC5y3QBzgTgltJLDAnn7WwzcC3SJp8qq+ltVbWh8+SGQm8zxtKOhwE5V/aOq1gPlwLVJHlO7U9X9qrqp8fdVOIGtb3JH1f5EJBe4BvhNsscSjQXydiQi1wIVqpqY8vSp52bgrWQPop30Bfae8HofXSCgnUhE+gEXAx8ldyQdYgnODVkk2QOJxgpLtJGIvAP8WZS3FgA/xJlW6VRiXbOqrmpsswDna/hLHTk20zFEJBN4FbhLVQ8nezztSUTGA1+p6sciclmyxxONBfI2UtVR0Y6LyCAgH/hERMCZYtgkIkNV9csOHGLCNXfNx4jIjcB44ErtvBsVKoC8E17nNh7r9EQkDSeIv6Sq/5rs8XSAEcBEERkHBIBsEXlRVW9I8ria2IagDiIiu4Fvq2qys6e1KxEZCzwKXKqqB5I9nvYiIj6ch7lX4gTwDcD1qro1qQNrZ+LclTwPVKrqXckeT0drvCO/R1XHJ3ssJ7I5cpNoTwBZwNsisllEnkr2gNpD4wPd24E1OA/8XunsQbzRCGAGcEXj3+/mxjtVk0R2R26MMSnO7siNMSbFWSA3xpgUZ4HcGGNSnAVyY4xJcRbIjTEmxVkgN8aYFGeB3BhjUtz/Ax4Fr23lr/xaAAAAAElFTkSuQmCC\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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EASxmK+8M/JRzxxMB6PlYZyb/9QE9H+vMlQ1qUqdhLXo82pl+o3pxVaPaxFYuR52GtXjkg8E8MLafpj376sQBLLmeY/UWs4VPH//K7QeOzWpj/GNfYgugAEorKrSiUJRyUhJSNdn9r9NbdB3aEWOYEbOG1MC08xlExET4taea9aszeef7LJq8gtU/rCUtKYPKtSrQ5YH2dOjfBmOoMc/Wbrd7zLIBsORaWDRpOfeP7ps3/5OfPeRkd/H6RbIzspn03LdkpWc72QZKnYa1PF5f+9Mmr9k7CcfPs+nX7bTo4fQQHVTUE7lCUcqJvyJWk53VYuOXz5cSYnB9sJgfvUFPdHxgWRkx8dH0G9WLL3d9yPTDE7jj8S7sWL2bdwZ+wvS35nD+QlrhqYNnOHcs0et821ftIjc7l8ST58nOzNG0h7DIMHo/p10eQCuValbwevB6fP9JTXNptQsE9USuUJRybhvSjgUTl2m2z9+mzR1tet0ctIYNR/ce56VubxfI4V4zdyMzRs/hsY/vp2F7bQd+pw6eoVfc/ZhzLIQY9LTudTN9R/biyhtrerxvwKu9mTt+EZkp/oWKCmMKM/Li1Me9dkUKjdBWnRoaERqMbXlEPZErFKWca26qS5vezX26Jzou0u218Kgw+r10d6DbAiAzLYsRnUcXcOIXsVpsfPrEFI7uPUFs5XJe50pNTMecY8m797dZ63m61UvsWrPP431CCIwazwZcodPr8v7f6s5mfLTmLRq0vc7LXdDqrpu8FlbpQ/S0vKNowyqgHLlCUSYYMe0pug3tiD7Ee9gEoGrdK7i5W2MnR1O93hW8s+yVvHQ/f0k+m8KM0XN58Lpn86o3XSGlZPYHC+g6tKNf6+Rk5vLOwE+8HhhWq3eFX/NHxUby/dEv+Gb/eGaf/YrXfxpO3cZXarq36lVVvH7AdhjQJigiYd5QoRWFogxgNBl4ZtLDdHmoPU/ePMqrfcLxRA5sPYSUElO4kaubXsVdT3ahzd0tfFp35+97CnQhatGzGfWa1eHt/uNJTdSmeb53/d+MmPYku9ftZ8eq3T6tD3DuWCIbF22jZc9mbm26De3Erj88P7m7YtDr9xKn8QzCFS9MeZSMlEy2Lf/L6VrzHk14+vOhfs/tCyqPXKEoYzzVchT7Nhzw+b5KNSvw4R9vUrF6vFdbKSXjH/2SRZOXO10TQvhcsPP1vo+pXLsiCycuZ+GkZRzbdxKdXkeNa6tyZPdxr/c379GUV2Y9WyAbJj82q42Xe7zNlqU7XV4vnEceFRvJ4Dfu447Hu/j0fbhjx+rdLJ/2O8lnU4mrUp7OQ9pxfetrgzJ3ftzlkStHrlCUMTYv2c7L3d/2q8tOs9sbMXaR9yf6eZ/8yufPfOPP9pwIDTfx45kvCYu8pNpoMVvQh+hZOHE5nz7xlaZ5qlxZiXeWvswVdSq7vG7OtTD15R9YPGUVGRcOPo2hBtr1acXgN+5j95p9JJ9NJb5qLC16NnX7oVCaUY5cobiMWPLNaj594kvM2b5JtQoh+PbAp1S5spJbG7vdzuC6T3Lm8LlAtwnAzd2aMHrBCKdxi9nCyz3ecRmWcEe1q6vw1e6PPJ4V5GTl8vfmg9htduo0rEV0bOkTv/IXd45cxcgVijLG0qmrmfzidwWcuNAJKlSL85qvLaVk+luzCY8KJyImnLb3tXQ6+Dy272TQnDjA1U0ch4fpyRks/WY1O1bvRkpJelKGzyGiE/+cZv38zbS52/0hY2i4SVPWyeWEcuQKRRnit1nreP+Bz53GpV1qKroBWPbtpZL/GWPm0qJnU0ZOfyov9GENsoxsdHwUW5fv5M3eHwSlAnPd/E0eHfl/EeXIFYoygpSSb16ZGfR5//xlC2/d+yFjf30JgCuuqkxohImczNyA5xZCUP2aqrx+5zhysgKfD9AkP6CFo3uPs2L6GtIS04ivFkfnIe2oWKNCUOYubpQjVyhKKXa7nV1r9pGakEZ81VjsNjunDp4pkrU2L9nB3g3/EFelPFNGzQias6zf8mo2LNgSNCcOUOu6wHLgzbkW3rt/Ar/NXFdgfPqbs7nrqa48/MHggDoolQQBO3IhRHXgO6ASIIHJUsrxgc6rUPyXWf7d73z3+izOHLlUMRlfVVu+szHUkFch6QsLJy5j6/K/NLVeq1q3CtIuOXXI8weLlJJ1P2/yeS/u0Ifo6Tq0Q0BzfDj0CycnDmC3S+Z+vIjMtGykXXJ03wnCIkNpdedNdBrUVlOv1JIi4KwVIUQVoIqUcpsQIgrYCtwppdzr7h6VtaJQuGfBF0v55HFtKXmuuLZ5XaLjojj5z2myM3OIiAnn2D7vwk0VqseRcPy83+u6IyImnMzUrKDM9fD7gwISyTp16AxDrn7K5zz42CrleWfJS9S+wbPuS1FTZFkrUsrTwOkLf04XQuwDqgJuHblCoXBNVno2X42YEdAcFzNBhE5wY9v6tLu3FeMfnez1vsQT7kvtA6FCtTi/HLlOr8NuswOOxhl9R9xFu/taIaVk+8pd7NtwAJ1eR+NON1KvaR1Nc66euc6v7kNJp5MZ1XUsU//5BFOYNrGs4iSoMXIhRC2gEbAxmPMqFP8Vfpu1Pmja2tIu2bl6DztX7yHEGOIxG0UIgtpeLT8VqsdxZI/n6s381aL1W1xN/5d7U69ZHc4eTSA8KoxqVzu0VA5s+5e3+4/n+N+X+mJ+/dL31G9Zj5d+eMZr1WpGsv8KiYknk1g9cz1d7r/Vr/tPHz7L+VPJlKsYQ7W6VfzehyuC5siFEJHAXOAZKaWT2roQYhgwDKBGjcAOKxSKy5XTXmLOFwmLDCU7Q5tmN3hPKWzd62bWzA3+85fQCZe9RvNzddM6vDzrWdKTMoiKjaRK7UvFSjHx0Xl/PnnwNMM7vplXtZmfvev/5sUOb/D55nc8NsuoVCuwrJQNCzb77Mh3r9vPNy//wF+/XwpSXNu8LoPfuI8mnRoEtJ+LBEX9UAhhwOHEZ0gpf3JlI6WcLKVsKqVsWqFC2UzxUSiKmogYbRrhj340hJdnPUfv532MFxdKxgiPDqP/y3cz8vunqVA9+Cp9nlqshUaY6PFoZ95b+RpValfi6iZ1Cjjxwvw4br5LJ36RUwfPsOTr1R73075fa0xh/pfm+3qIvHX5ToZ3eKOAEwdH+GtU17Gs+Sk4H54BO3LhyNOZAuyTUn4Y+JYUiv8ube9t6TX1zRRmpHWvm2l7Twuad/exsa+E7g934rkvH+HlWc8x88QkhrzZB4PBQO9ng99pxxMdB7blqQkPacoGsdlsrPphrVe7Zd/95vF6dGwUg16/V+sWnfDlsNNut/Pxw5OwuHkbstvsfPLoZCxm3zOMChOMJ/JWwECgvRBix4X/ugZhXoXiP0eVKyvRvl9rjzY9H+tMVHlH44g4Nw2QPSHtktsf7EDbe1oUELLq9Uw37nzydp/n85c/f9ms2TY7PUdTgVLKWe/9Te998Q6e+nyoU/PosEjPnXyEEHQbpl1XfeuynQXSR12RkpDG2p8CT88MRtbKWpxe2BQKhb889+UjmHMtrJmzocC4EIKuD3XgwXf6541Vu/oKomIjSU/K0Dx/mIcn4IffH8T2Vbs56uVwMhgknUnhp48X0fn+dl6bQIdFhWo6FyjsnN3R45HbuP3B9mxfuYvUxHQqVIvjiqsq8UzrV9xKHTwwpq9b5UVXHN17QqNd4D9rVdmpUPiBxWxhzdyNHNpxBIMxhJu7N+Ham+v6PE9udi47Vu8hJzOXWtdVo2b96hhDjbz64/Mc2nmEFdP+ICUhlfiqcVxxVWXWzdtIj8iB2G12rm1elxvbXudzr8pb7nHfXOKPORuKxYmD483gi+emMu+TRby7/FWPTlKv19OhfxsWTnLWR8/PbYPbaV4/xBBCsy4FGyyPXz+Gb1+dxeof1pJ7obr1ygY1uW/4nbTv6/lNqTCm8OLr6alkbBUKH9m0eDvv3T+BlHMFX+Ova1WPV358XlO4w263893rP/LLhCWk50uJu771NTzx6YPUaVCrgP2MMXOZGgSdlYbtr+e9Fa8BjrgzkgKSsCNvH+22OUNRUvuGGkze+YHTuM1qA+Fw5KcPn+WJm0aSdt51Z6Lq11Tls41vB6UCMzMti3NHEwiNCPUo+euJxJPnGVD7ccf34AYhBF/v+zgvvdIb7gqCVM9OhcIH9m74h9fvGufkxAH2rPubEbe9hTnHu07Jhw9NZMbouQWcOMDutft5ru2rHN519NLYuv1BceIR5cIZPvUJ1v28iRfav04XQx+6GPvw4HXPsvjrlUgpSTqdEvA6/nB41zG2rdwFOPLZl3/3O082H0kXYx9uN/blxQ6vc/ivY7y/6jWuvNH5wLFh++sZt+LVoJXRR0SHU/uGmn47cYD4qnG07+/5Kb7lHU01O3FPqNCKQqGRM0fO8c6AT9xmIQAc2XOc1TPX0XmI+1zjvzcfZOlU92lyWWnZTBn1PaMXjARg/meL/d90PjJTshh5+xin0MmxfSf48KGJ/DJhKeUrxQRlLX/YsmQ7jdpfz7ghn7Fi2h9541JKdqzew47Ve+gz4i4m7XifXWv2sW/DP+j0Opp0ulFzNklKQip/zN5A2vl0KtaIp03v5oQFIbThjqc/H0pqQhqbft3udO2GW67lxalPBGUd5cgVCg3MGjefKSOnoyUSuXLGGo+OfPFXK73OsXnxdhJPnie+ahy71vjeVNgdnuLfB7cfDsrTob/YrHaWf/d7ASdemJnvzKNRhxto3OEGbmijvSemzWbjyxen8cvnSwt8EE94+mvuf6tvkWXrmMJMjFk4ih2rd7Ps299IPJlE+UoxdBxwC007NwyayqJy5AqFF1bPXMdXI6Zrtk9NcCpsLsDpw2e9zmG3S84eTSS+alye3khxcOKfU96Nioh6zeow56OFXu1+mbCYxh1u8GnuL56ZyvwJS5zGs9KymfD014QYQ+j+cCef5vSFhrdeT8Nbry+y+VWMXFHqOPHPKSY8/TWDr36S/rUe5bW7xrF5qecy76Jk5rvzfLKPr+ZebjYnK5e0JG1ZJhEx4ezbeMCn1MKySrmKMTTv2ZQDW//1artn/T8+zX3uWAILJi7zaPPd67OwWoLbGak4UU/kilLF2nkbGdtvPJbcS9Vu544lsn7+ZroN68QzE4cV635OHTrDvzuPejfMR5f727scTzyVxIjb3tKUX1z7hhpUrVuZAbUfx2pxn/VwOaDTCa69ua4mJw4OgS9vWC1WNi7axtmjCexZ97fXt5rks6lsXrKDFj2cEkLKBMqRK0oNZ46cc3Li+Vk0eTl1G9em27CiewUujC/CVOA4wGp5RzOX10bf96HmIpF+o3qxZs4GTU0e4mvE06l/G3b+vpf9Gw8UayhGC2GRoXS+/1Z+/3E9yS4qL+12yZ8LtvDngi1ElAsnM8Wz5G3D9p5DFCum/8GXw6eRdMa3DJxkH+1LEyq0oig1LJy4zK0Tv8i8T34tpt04qFyrAsZQg1c7IQTt+7Vm9IKRBfKyL7J/0wH2rPvb6zwhxhAeH/8A7e5rxY7VezTtMfFYInM+WECf/93JG/OGE2JwXh/Q9H0Em5j4KMYsGsXj4x/gx9NfsShrBvf97w639t6cuBCCO59wfzC5euY63h30qc9OHLRXhZZGlCNXlBq2Lv/Lq83RvSdIOBH8LjbuiIiJoO19Lb3avfHzcEZOf9ptHrOr9DNXDHmrT14GhS/FehazlXcGfMKNbeszbsVrNMp3GKjTCW7u1piP1rxFZz+1tP2hXMVoZhz9Ii+7xGqxMumF75j17ny/5hNC8PD7g6jfop7L63a73adD6fzEVilP087BkZQtCVRoRVFq8FQB549dsBjyZh+2r9hF4knXHXS6De3oNbaq9SBtxXe/c/bwObo82J4b2lzLkq9Xad5nVno2K6b9Qc/HOjNu+asknjzPwe1H2PTrNnav28+Yvh9Tp0FN2t7Xkt9nrXe6X+gEFWvEcfaIa60RX0lNSOPPX7bwx5w/yc7I4fS/5zh54LRfc4VGmBg54xla9nT/c96+cpdbnRRvDH7jPkIMZdcdlt2dKy47rrmpLod3HfNoE3dFeSpUC75uticqVo9n/LrRTHpxGuvmbcr7IImvGstdT3XlnkWiOE8AACAASURBVBd6ep2jbuMrNa11ZM9xjuw5zoKJy2h7X0ti4qNITXRdku6KvRv+pudjnQFHlei7gz8r0FTi1EFH4wqjyYC5UBhL2iVnjyQSUyGK1ATXa4ZGmNDpdWSlaehiJARj+n6see+eyMnMZePCLR4dubsPWq8IaOQl7q6VhBPn+WP2n6QnZ1C5diXa3tO8gMJkUaEcuaLU0POxziye4rlYptuwTi5j0EVNxRoVeGXWcySdSeb4/lMYQg3Ua1pH815a3tGMuCvKc/6U98PLi/w+az1t7m7O5iXbNUm4gqPPJTg+EN4d9KnbjJfCTjw/qQnpDHr9Xv7efJCkMylElovg6N7jJJ1O0bwP8NxUwh9W/bCWhz8Y7DZ8Va5CtMtxr0jHzyuQcnyrxcpnT0xh8derChw2f/HsNzw4tn/eh2tRoWLkilLDVY1qc//ovm6v39i2PvcNd39QVhzEVi5Pg3bXUb/51T59oOhD9Az/9kmfDxw3/bqN91a+plnVr3GHGwH4+dPFAaUtnjx4mtELRvL55ndJT8ooMQ2W/ORk5noMnTS5rYHfEgOBdA0C+HDoRBZ9ucIpYygrLZtPn/jKoyRDMFCOXFGq6DeqF2/8PJwb29bPG6tcuyIPvTOAt5e8jDE0sH9wJUnjDjfw8drRNLlN+6FabraZkwfO8OI3j3tNu4ytUj5Pona9D00bXHHsQprk9lW7OLj9sE/3GoxF96IfGuFeGjbEEMKAV+7xec7ouCiu96HcvzDH9p9k+Xe/e7T59rVZDrXJIkKFVhSljpY9m9GyZzOyM3Owmq1ElosImiZFSVOuYozXc4DCXMxlf/iDQRzbf4Jdfzhrr0TFRvLmz8Mxmgx8+9qsgHOiL2pkb1y0TZP9jbfUp/KVFbmh9bWsm7+JDQu2BrS+K+o2rk3lWhU92vR8rDO52Wa+e32W5jDQnU/ejtHkf2rmyunutWEuknD8PDtX76Fxxxv9XscTypErSi1hEaHguXFMmePHcfM1Ffnkp3o9h5BVWEQo7y57hdU/rGPRlys4dfAMETHhtLu3Jd0fvY34K2JZOWMN09+aE/A+W915E0CBg1JPdL7/1rzwz6lDZ3x25EJAeHQ4manu88jvfVFbWO2e53vQ9aH2rJ65nrNHzoHg0p8LcduQdvR/+W6f9loYV0VOgdj5g3LkCkUxYbPaWD7N8yt4YapfU5UG7a7L+9pgNHDb4HZuY+ZzPlwQyBYBx1vDxXzzOg1rabrnqka18/58+0MdmPXuz9g1HnaGR4fx2Mf3c1Wj2rzUbazTgbAQggfG9qPdfa20fQM48v/zi2ANfO1efv9xPX/M/pPMtCyq1qnM7UM7Ur/51ZrndEfcFdoKieKrutfgCRTVIUihKCbSzqdzd4UHNNsbTAbGLBpJo/balP4STpynX41H/N0eALGVyzFm0ag8x5yTlUvfag+T4aGdXP0WVzN+3ZgCY9PfmsO3r81yaR8RE86tfVtjCjVQ49pq3Nq3VV6KXk5WLqt/WMuGhVsx55i58sZadBvW0ademcXNqUNnGHL1Ux4LuCrXrsi3Bz5FpwvsWNJdhyD1RK5QFBOhkaEYjCEeG1Nc5PrW1/Dg2H5c31r7IZyWzkR5e4kw8cSnD3Js30kO7TyCwRRCi+5NubVf6wKNFkLDTTw/5VFG3/eRy0Ks6Lgonp3s/OEx4JXexFeNZea7P+cVAen0Opp3b8JD7/Sner2qrvcVbuL2Bztw+4MdNH8vJc0VdSrTbVhHt/1EhRA8OLZfwE7cE+qJXKFwQ/K5VEdxR1IGlWpWoPXdNwfcTWZs/49Z/cM6jzb3vNCTYeMG+jy3OcdMn6rDnNrHFaZu49q8s/QVouOiNM+9a80+vh87l63L/kJKicFkoO29Lej/cm+q1a3i9j4pJYd2HiE7PYcqdSoRf0XRhRdKEpvNxpQRM5g/YQnmnEs5+uUqxvDw+4PoOOCWoKzj7olcOXKFohA2m41Jz3/nEPHK9/QcERPO/aP7csfjXfye+9+/jvJUi1F5HdoLU6F6HBO3v0d0rHYnm5+Jz3/LXC/NGcavH+N3bDg1MY305ExiK5cLWn/My4m0pHTWzdtERnImlWtXpHmPJhiMwRMrU45cUeqQ0gzoEKJ0Rfg+eexLj40Inp38CF0f8v/Vf/uqXbzdf7xTFkPN+tV4/acXA2q3lpGSybO3vMKR3a5buvV6uhuPfjTE7/mDQU5WLn9vPoi0S+o0rEVU+cgS3U9ZQjlyRalASjtkz0VmzQDrXseg8WZE+GBEaMeS3RwOTfTBVz3hMeMitkp5Zhz5PCCRJYvZwpo5G9i/6SD6ED1NbmtAk043BiVfPj05g+9e+5Hl037PS+erfk1V7n6mW7FquRfGnGvhm5d+YPGUlXn7MoUZubVPK4a9P0g5dA0oR64ocaS0I1OfhRw3XeEjHkMX9UzxbqoQM0bPZeqrM73ajV4wgpu7NSmGHTlz/O+TzP9sCRsXbcWca6VOw1r0eOQ2JwXGgzsO8+O4+exetx8kXNW4Nj0euY1mXRoV+55tVhsvdX+brct2urxe+4YafLTmLSKiw4t5Z2ULlbWiKHmyf3TvxAEyP0eaWiKMNxXfngpxXmOxTlEWd3hi3c+bGNP34wINOJJOJ7N58XZuG9KOF6Y8hhCCNXM38Hb/8QVi/AknzvPnL1voNrQjz0x6uFj3/dus9W6dOMDhXceYN/5XBrzSuxh3dfmgtFYUxYbMmhEUm6JEa3FH+crlingnzpw7luDkxPOzbOpvzP9sCacPn3Vy4vlZ9OUKt6lyRcWiyd7X02KjcI1y5IpiQdozweq91RlmbZ10iopOA29Bp/Mcp46vGktTH4SvgsXCScu9tsL7+bPFLPh8qddc9Z8/Ldgyz2a1seanjUwZOYOpr8xk1xpnPZdAOL7/pFebxJNJ7Fq7z6d8eIUDFVpR+I20J0HWbKRlBxCCMLWC0J4InYs4p9D4zCBLtnFwxRoV6PFoZ+ZPWOLWZvCbfUpEE337yl1ebU4eOM3GX70LXV1smVehWhy71uzj7f7jC7TQmzFmLnWbXMmrs5/3KlSlhbCoMFIS0rzaPXfLq0THRXH7g+0Z9Pq9mtQuUxJS+ev3vdisduo1q6O5CtRut7N58XZ+/Wolp/89S0RMOG3vbcltg9uVudRK5cgVfiGzFyBTRwKXnp5k7lJI/xDKT0QYGxewFyIMaWgIlh2eJxbFf/hemMfG348x1MDPny0p8AQcFRvJA2P60cXPvpc2q42kMymEGEMoX9F33WytLe4Ka2J7sjuy5zijuo5xqRR4YOu/vNjhDSZuG0dETGDqZW163cyP7/+iyTbtfDqzxs3n7y2HGPvrKLd52NkZ2Ux46htW/bA27+9JCEHTzg14ZuIwKtao4HYNi9nCW/d+yJ+/FEy62L12P7Pf/4V3l70SUBpocaNCKwqfkeatyNTh5Hfily6mIJOHIW1nnK+ZNHRJsScgLfsD3mMg6HQ6hr03iJknJvHMxGE8MKYfI6c/xQ/HJxYQYtJKdmYOU1+ZSd/qD9OvxiPcW/khHr9pBKtneq7wLMy1Gop4YiuX47pW13i1i68aS3y1WGa+O8+j3OuZw+dY+s1vvmzTJT0f70J4tG9PuTtW7Xa7tsVsYVTXsSydurrAh62Uks1LdvDsLa+SdMb9wfWUETOcnPhFzh1L5OUe7xSpfniwUY5c4TMy8yvAwy+5TENm/eA0LITGcESud33n4iA6LopuwzrRd+RdtO/XBlOY+6YG7sjOyGZ4hzeYMWZugUyXf7YcYmy/j90KS7mix6OdveaZdx3akTufuN3rXN2GdcJmtfPH7A1ebVdM902x0RWValZg9IKRRMX6liu+cJLrwqzfZq5n91r3H/jnjiXy43uu3wCy0rNZPMVzU+uTB06zcaE2LfbSgHLkCp+QMhdyf/NumOMqxqxN2xo8H+iVJb4f8xP7Nx10e336W3P4Z+shTXPVuq46w95zr8FyY9v69B15F1c1qs0DY/q5tWt463XcO/wOstOzvR6eAppi21q4oc21zDjyOU99PpTWvW5GS+3T0T2uK1S99XYFWDZ1tcun6l1/7CUr3Xvz6A0Lg98co6hQjlzhGzIHj0/jeXYuGgSEXOc85gpDcDqalzQWs4UlX3t+8gNY8IV7OYDC9H6uB2N/HUXjfFWgVa6sxNB3C7bC6zvyLt6c/z8a3nrpZ35FnUoMGzeQMb++hNFkICImnLBI7yJgFarFad6fN8Iiw+jxyG28NucFwjUU/5jCXb8FnTns3CSiMOnJmWSmOP8ealGfBEdD5bKCOuxU+IaIAl0FsCd4tgup7TQkTC2Q+ivB9q/7+/TVwdgmwE2WDhKOn9f0NHtgm4efhwuadWlEsy6NMOeYsVpsbjMsWvRoSoseTcnJysVmsTodWIYYQujQv43XnPLO97f3aX9aaXlnM5Z/6zls0+ou18VhkeUjCmTZuCLEoCfUxQdVnQa1EEJ41A8HuKqh8+9waSUoT+RCiC5CiL+FEAeFECOCMaeidCKEDsK8N7gVYX1cj5cbB8JNnFREIGLec6xxGRBi0HYm4G+zYmOoUVOaXGi4yW3WSZ8Rd1GuQrTbe69qVJsO/Vv7tT9v9Hq6m8efUYhBz11PdXV5TUu3oFZ33eSyF2eVKyvRtLPnOgBTmJHbhrTzukZpIeB/McJxgjUBuB2oD/QVQtT3fJeiLCMiHoCQuu4NTG0h1HWGijDciIibDaE9gYs5wgYI7Y6IneWUtliWqVijArWuq+7VriS0Ty5SqWYF3l/9OvWa1SkwrtMJWt7RjHeXveLXIa8WrmpYm1HfP4Mx1NnZGkMNjPr+GbdPxd2GdSS2ivsqXIPJwH3D73R7/cnPHnJ7v04neHbyI0SWKzsNYwMWzRJCtABel1J2vvD1SAAp5dvu7lGiWWUfaU9Gpr8L2YuAC+lrIgbC70VEPo0Q3gs5pD0LZBqIaNdFRJcBi6es5MOhE91eD40w8c3fn5SKhgt/bznE35sOog/R0bjTjVSpXalY1k06k8zir1bx1x97ALjxluvoOrQD5St5lkE4suc4r935LqcOnS0wHlU+ghHTn+am2z1/QJ47lsC0N+fw28x15GQ5focbdbiBPiPuonEHbe31ipsiUz8UQvQGukgpH7rw9UDgZinlE4XshgHDAGrUqNHk6NGjAa2rKB1IezJY/gahB8MNCBFYB53LkS+encpP4xc5jYdGmHht7oslUu5/uWCz2di4cBtblu7AbrNT76aruLVva0LdHJK6Ijszh6TTyUTEhFOugu+FWsVJiTvy/KgncsV/jd1r9/HLF0s5tOMIIcYQmndrQreHO1GxenxJb01RhihKGduTQP5AYLULYwqF4gLXt77Wp0bKCoUvBCM9YDNQVwhRWzgCo30AbaIKiiJH2pOQ1iNIe0ZJb0WhUBQRAT+RSymtQogngKWAHvhaSrkn4J0pAkKatyEzJoB5LSABAzK0CyLyCdDFQvZ8pO0EQhcFoV0RIXW8TalQKEopqtXbZYjMWYVMeRLXpe6hgB0nwStTF0S5dxGibMl3KhT/JVSrt/8IUuYiU0fgXq8kx/Vw7hJkigVR/oui2lqxIGUOZC9C5iwEeyroqyLCe4PxlqA0NlYoSiPKkV9u5PwKMsW/e3NXIi17EYayWc8lbaeRSUPAdvjSoHW3Qyfd1A7KfaYpv12hKGtcHrXQijykJbAWXTJ7fpB2UvzI5EcLOvH85P6GTHdbo6ZQlGmUIy8hpOVvZMYX2NM/Rmb/ipRBkm4VrrupaMbuWoxf2tORtpOOasxSiMxdD9a9no2y5iLtqZ5tFIoyiAqtFDPSnoJMeR7May6NAaRXgOjRiFD/2ohdRJjaITO/9H8CfcH2VtLyFzLjiwsa5DbAhAztioh8HBFSI5CtBhWZu1qDVQ6Y10Oo98YLCkVZQj2RFyNSWpHJDxZw4nnYE5ApTyDNgWXzCGMzMPirEyEQYb3yvpK5fyDP94PclVzSIM+FnHnI872Rln8C2mtQkRo7r2u1UyjKEMqRFye5K8DiqRO6BZnxWcDLiHITQH+l7zeGD8h7ypbS7L4vJzh6c6a95P8mg4wweO9TCUCIRjuFogyhHHkxoukg0fwn0nbWu50HhL4yIv5nRPRYMDaHkHpgutXh4GM+B321QjdEQMTjiKiXL43lLAF7kueFLDuRllJS+xXaw/F9eMLQGGGoVzz7USiKERUjL07snjuaOJAOB6oPTEJUiFAI7+3Ioc4/DsjQ9mD+E2zHHR1/TO0QuoJOULODtuwGg7YWbtKeAdk/I617gBCE6RYwtdfelNkDQhcJ0aORqS/gshWdKIeIfjPgdRSK0ohy5MWJTotz1jlaqRUhQujA5KXDitD4q+EiS0aatyGzvgfLTkAPptagrwkZH4LMvGSXPQt0lSH2m6BIBIiwbqArj8z8AswbL4waILQzIvJJhIv2cwrF5YBy5MWICOvlKE7xhKktQl/y0qbasl8EUkSRv17Snv4RZBaqDs3y0JPSfgaZ2AMZ8x66sG7+bvfSjkwtEaaWSNs5R9MKXQWErnRrTCsUgVImHLmUVshdgcxZDZgRIfUh/G6EruS7qviEqa0jZm3e4Pq6CENEPlW8e3KDMDZDhlwP1t0erCSkPIGMGoWIGIzMWeLsxDVhhdRnsWd85OjnabgBEd4PYfBf9lXoKwIV/b5foShLlHrRLGk9hEwe5ojnFsCIiH7dKQZc2pH2TGTaK5CzmAKxXH1tRMwYhNFJD6fEkLZTF0rej3ixFIi4Oci0MWDZFrT1ReSziMhH3eztPFi2Iu2JYDkI9hOACWG6FcK6IUTR9JlUKEqSIusQ5A9aHbm0ZyATu4H9tBsLgSj/pePQrIwhbacdRTYyx5FVYmwRVFEnaTsP2bOR5g2AHQxNEOH3IfSVfZvHnoVMvN3D38EFTN0hd6H/G3aDKDcBEdop337SkWlvOjRl3AmD6Sohyn+lMlQUlx1lU/0we54XByKRGZPKpCMX+ioQ3rdI5pY5q5Gpz4DMvjRo3oDMnAwxYxBh7ruLO2P37sQBzFt93qcWZOY3eY5cyhxk0mAv4R7AftZReBW/xJHNolBc5pTqPHKZs9i7kWUz0pZQ9JspI0jrIWTKUwWdeB4WZOpIpDl44Y8C6IugZN+yBWlPd/w5e653J34R+znHg4BC8R+gVDtypMb2ZPlS2koz0nrY8bRs3uw4wC2KNbKmAbkeLGzIzG80zyd0kdqqIU3NEEX0hnExhCKzfvTpLpm7rCg2o1CUOkp3aEVfE6z7PduIsCLPuw4UadmLTBsLlk2XBnWVIGIoImJQcBfLWeHdJncVUkqvMXlpPQrWv8Fwk9e/BxE+ABlSFzK+cKT9BQtdHNKei9ABthO+3WsvGx/wCkWglGpHLsLv9Z53HdrNqSqxNCEte5FJ/Z3fGuxnkemjkfYEdFHPB3FBT0/jF7Fc+M91kwVpPYRMe8tR/cnFw3CR788FEZHPI4wNIXseMphOHBzVsIntsBtbgwgFma793hA/9GYUijJI6Q6tGFuDqYv767qKiMgni2070rwZmfEZMuNTZO6f2u5Jf9tz6CfzS6T1WJB2CIRc5d1GX8ttpxxpPepQPDSvp6DjdpfdJOBCVabMmu3TVh23l9NgJB2Kkd60XwpPHd7H9/0oFGWQUu3IhRCIch9CxDAQ0fmu6BwiULEzHdkfRYy0HsaeeAcyqT8y4xOHI08ejD2xq0cpV2k9kq9U3B12ZLZvsV9PaHFeIvw+t9dkxscgXTeXcHOH4x5wkeuvAX0lhwaKJrVGG5p/ZcN6l6qcfIWiKCnVoRUAIUIQUS8gIx93pLhJCxjqIQo1QCgqpO08MmkQ2F0oEloPIpMHQdzPrvOzvRbSXJwnsCfyS5Wvy8Ce5cgesbmZ09AYwvu7nseeAjl+HBBa/0FadoMu2vXPyRPSigjvgwjvg/38YLB4e9Oxgyjv/sNGVxERPtDx4e8n0rwTbCdBFwPGmxFadWcUihKizPyGChHmEF8qZmTWdM/OyZ6EzJyKiB7hfE1ozGEOIMYvrceRyQ+57lUpwkFeaM0mYiDsbkTU0w5lRFfYTuO2yMYb9kQwNATrAR9vtGLPmgdZ07SnFkY8jNBXRF6M4YfUg5A6CBEJhuv9drwyd50jFGbN95alqwgRjyAiBvg+n/UY5PyCtJ9H6CpB2J0+F2QpFFooM468xMjRoCGePQ+iR1x4Ml6JtPwFGMDYyqHuZz/j8XYR6uEcwANSmh2FL+6e/GUWRDyBCO1wwdG5ceB5G4nyax+AIytH6xtIfmxHIe1/vt0jQIR1R4R19309N8jctQ4pCAqlhdrPIdPfBJnuVi7AaS5pRaa96sh7v3C2IAEyxiPDByKiRga1ilehUI7cG1o0xGUy9pw/IW14waf3zM9B5yUEFHI9GP2sTM1Z6t155iyCyCc1OQ4RUg0pov1IH9T558T9xdQ56FPKtNE4OfH81zM+g7B7NClTyrS3IHuOiys2yJqKFGGIqGf936xCUYhSfdhZKtBpUNAT5SH1EdchGPspIBpw4UhDrkeUn+T305nM8ZKaCY6Qi7dc/AvYzVv8zAG3e76sC+KBtL4mupCqwZsPHH1SbR6kdgGwQM7P3ueynQFvh9dZUy9VqyoUQUA5ci/kb0bsFl2sm5L4i6ThMn0v5BrQxfm7Ne0VrRfj5J5MrMcg+Qn/9+IJLVotmtBDuU+CNFc+NGbbyJzfHDrnnsj5FZcdigpMlA25y7XtTaHQgHLk3gjv69zjMj+6io44rz/kzIHMSf7dC6Cp443eqwaKtB5DJvUBqTFP21tvzKJAVx0RNwddABrlbimQ2uoByyZkQjvsKf9DuvnglvYUbXNptVMoNKAcuReErhwidjoYmjlfNDS48ITov26KzPoOKd10qve2tzD3+eB5mNoj9J4lDGT6O46sE62UgLaNiHocobE3qM+YWmnPMMIKOfOQyY/hSgJac1qsPrjhIcV/G+XINSD0V6CLm4GI+wUR9RIiahQibi66uNkO5yLC/J/cfh7M2/3bl6EehA/xYFAeEfWixzmk7SzkrvZr/eJEZnuOT0spkbYEhw67zxgBHxtAm9eB+Q/n8dBujrRPT+jiwHSrb+spFB5QjtwHhOEaRMRgRMQQhOEGx5gwOf7xBoSn+LpndNGjEFGjHGmOl0YdjiL2B7DsxH7+XuxnrsV+5nrsyQ8jc9dfMrUewWtMNz8hRRDa0IKb7CEprcjMr5GJnZAJrZAJLbAndkdmzXL5xOwS8zqQqT5vSWb/5DQmdFGIyKc93iciX3QrkaBQ+INKPwwCIuIRZM4KkP7EPXWg16CP4nH9IRA+ECx/OQ42Q64EXSVk6ovInAX5LG2QuxqZuxqi/oeIeFB7TBcch7ORz0HK0ID26xe6Sk5DUtocud/mtQUvWP9xtNOz/IWIGeN9bqt7mQWP2FzXB4iI+0GYHCmL+UNWuiqIqOcQYXf4t55C4QblyIOACKkBsdORqSMKVSdeTCv08GRobI0I8XCYqnUPQg/GRnlfy6wfoIATL4hMH4fUVYDUN7UtYOqAKDceMCD1tV1XkhYhrrKHZOZkZyeen+zZSFN7R0GUR/zs7+mh+bcI7wdh90DuWsfbhL4SGFs6/p4UiiCjHHmQEIarEfE/OXQ6rLsBvUO9MXeZ4zDRFbpYRPRLRbIfmTXdmwWkvQFoyGfWV0eU+wQhDI6vY8Yhk+/X3vgjUAw3QuhtzuMZE73eKrO+B+PNgETo3FSuht4K6aPxmg9fCG9P1kIYHHMrFEWMcuRBRhgbgLHBpYGQBxxhjsyJjiYNABggtCMi8jlESE2HZnnWNMj944Io2HWI8H75elVaIGeZIyZrPwe6OEffzdCuLmOt0p6iTfNEi7a3rgKi/NeXnPjF7zHuR2TGRMhZAviRdSPiLqQ7XnxbCQVhcN5TyHVQbpLT92k370LT2YJ5HfJcYwBkSF1EeH8I64MQl46HhL4qMrTLhRxwjYRcD6aO2u0ViiJEaD4QcnWzEO8BPXD8Sz4E3C+l90Bx06ZN5ZYtW/xet6wirf86Uvf0VREXXstl9jxk6ihcHjiG3Q2RIx0xaYuLzJaQaxDlv0HoCxYVSXsq8pyLdEl/CO2Hrtzrbi9LmQ32VGTKCwU7IHlEICpucMTzLftAGJBSQOrTrlMbja0uVMBecub2jG8hQ0P82xWhtyNiPirgzKU9E5nyKJg3eL/f2AJR7qO8v0OForgQQmyVUjrpMwfqyG8DVkkprUKIdwGklF4VkP6rjrww0vovMrE7HvPQQ64F6z73140t0MV+6zRsT+yR7w0gQMJ6IaLHFnB8hZHm7cikgWh6Oje2QRc7Je9Luy0dEloBOe7vCX8AXT6FSZk5DZn+lobNuyFyOMLU2qGHrivvmFPaIfd3ZPa8vDcfQnuAzAHbAYfomKkDwlDf/3UVigBw58gDCq1IKfOLV28Aegcy338NmfU9XouJPDlxAPOfSMs+RKGKRxE+EJn2cmAbvEj2T0gRj4h+wa2JMDaC8pOQqS9d0JdxhwER+VjBoeQH8OjEAbLnIKOedsgZAxgDfOPIGIfMGAeEIE0dHfK+IXUg9FaEimsryhjBzCN/AFjs7qIQYpgQYosQYktCQkIQly3DaHmN10Lub85jYfc49MHdIKJeAWNz7WtkfYu0ez7cFKZWiAqrIGYcCBdiY6Kc49DU2CRvSOauA+tO7+vLNLBcyggShmtcV9v6jBVylyDP34e0aBMXUyhKG14duRBihRBit4v/7shn8xKOR8sZ7uaRUk6WUjaVUjatUKF0d70vPnzLknBH/hJ/Ke2OBgkpT4Jlh5s7DGC4BqLeBJ13WVYHuZD7u1crIXTowu5ElP/4wgfJxRRME4R2hkJl9jJrlsb1AVnw5yXKjfOsg+MLMg2Z9npw5lIoihmvoRUppcejjkO8HQAAGVtJREFUeSHEEKA70EEGEnD/L2JoDNaDAU9zMawisxch098H+0kvd1iQKc86DhZ90U3RaCtzliBTnqNg2CgXsmchc3+D2B8u5c7btH7/JseHTz6EvirEzYGs7x0ZPbYzjtxuEe3DvPmwbHMZplIoSjsBhVaEEF2A4UBPKTVopSoKIML74VKnPD/eMiN0lcDUAZm9EJn6nAYnfgH7Od/Fr0JqeTWR9gxk6kjcxv7tZ5Gp+WL3WnVqQm9D6GKchoUuFhH5BLoKq9BV3ouu4lpEzNt4/bm6w98qT4WiBAk0Rv4ZEAUsF0LsEEJ4r9BQ5CEM9RFRw90bmNpBuQkeZGNNiJh3AYlMd/y/6BCOatCs2Z7VGrN/9v4BYVmPPekBpHknwtRJw9phiOhXte/U2OCCvR+/3sLPKk+FogQJNGslMJEQBSLiQQiph8z8xiHehB1Crr5Q4n0vQoQgY2chMydAzgoczZH1jrREU0fQXwG5a3zvXu8zEix/OfqRZnyKLD8ZXaFQB4C07tE2nXktMmkjxLwFopxnnZqYMS6fxj0hwvuDoZGjwtW8AezZIL0oI4owMLYsMCStR5DZsx3iYiLS0V/V1NZjKqZCUdwElEfuLyqP3DVS2gCbW2U8u/WMo5Q8dxWXQhcC9LU1tCoLNgIR/RoivJ8j28N2AnQxyKyfIWe2D9NEQLnPIfVZsBdubKFzNCqOGByUHdsT7wJPHzThg9BFXwr72NPfg8yvcHrTCamPKD8ZodfQBlChCCJFkkeuCC4OQSXXokpSmiH1GbBsK3ylBJy4Y12Z9gYyYyrYj1waFuV9nCYTYT0I8SshZz4y9/cLMgX1EWF9giIodmlrXyCT7gfbIeeLpg4Fwlwy81vI/NL1RNa9yOSHIe4nv/utKhTBRDnyskLOIhdOvKSRBZ04gEz2fRbLX+giBkJ4vwsHwEWD0FeG+PmQsxiZvcChQa6vigi754IyocMpOzTOv/I8mXUPmNeA6Rav60rrv47mHTIHQq52dG1SKoiKIKIceSlAWg8iM6c5HIO0gOF6h2iWqc0lmywfwhVlDVF8v4ZCGCHsDs/KhZbtms4cZM4ShAdHLu1pyNThF0Jh+dBVdsT98/39KhSBoE5sShiZvRCZeAdk/+CIM9vPQu5KZPKD2NPeuGRo05hWWJowtkJLGqAwti76vfiClwrWPDxk5ziaXgx1duIA9jPI5EeQfrb4UygKoxx5CSKtR5Cp/8ORieKCrBnIrLkXjP1vB+cZHYT1A10RHNzpq0BYXy/LV3GtNV6ShNTWZqev5f5a7krXipV5WJAZn/qyK4XCLcqRlyAO0Sw3TjzP5ltHVohfbeQ0YGqPLuZ1RPwyRPQb3hsH+4KIRESPcK/pootDlJ9YQOu8NCBCal1oRuEJnSO27gaZPc/7QuZ1jubXCkWAKEeuAWnegT3leeznWmI/1xx78qMOsadAMWuYw7ofmfVd4Gu5QZgcbdCELhwR3tdlb0y/5w7thhChiPJTEDEfOhy6rgqE1ENEPouIW1hqy+FF1EgPhVhAxCOeM2rcNIsuiNRop1B4Rh12ekFmfodMH0OBXOLclcjclciIh9B5qsz0OrkXCduLWI/7v4ZHQiG0kJSOvlpw+nEamjo6CXGh5VlYd0RYd7fm0rILmTUDzNsA4WjeEN4fYagb+F78QBjqQ+wMR8Ws+c9LF3RXICKHOgqOPKHTIgwnfBAtUyjcoxy5B6R5p7MTz0/mV0hDA0RoZ/8WMDT07jRFlO+52VoxNnbSOhHh9yDNawKb90LIREqLQ2LXdgJEDIR2cFmhKTMmITM+KDiYfRiZPQui30KEl4zMvTDUR8R+i7QeA9tRxxO6oYGm1EER1guZu9yzkbG1KipSBAUVWvGAI6ThufJVZvof9tCUMy3TQRaRfrt5PTL5IaTMvTRm6gjGFv7PqauCiF/k6LST0A6Z8jgy/W1k2gjkuTbY099zdOK5gMz9w9mJ52FDpr2CtGgs+w8y0rIfmbPSkUlkbIUwNtae/226FQxOBXj5DRCRTznWsScjMz7Dfu5W7GeuwX6uBfa0sUibpwYdCsUllCP3RP5XandYNjuePP1AGBvk/WP2vMZW0Ff3aw2vmDcUyJ4QIgRRfiKE3Qv4cAgpwiBiGCJ+Ppg3IlNfAHvhD6AcyPwSmf5m3ojMnOplYltAH5b+IM2bsCf2Qp7viUx5FJnUH5nQAZn1o+Y5hNAhyk8GUxec/pnpqzlK/I0NkLYzyPO9kRmfXFCutDvi5llTkYl3Ii17g/q9KS5PlNaKB+znmrvQ/3BGVNrtVh/FG9KehjzXHK8t30ydwHbKhVZICIT1BhEK9kRHBaivKoiiHKLiGkQh5T979q8OWQAthD+KLvpZR2OLxE5g8xTX1yHil4G+GvJsfbw22NDFo6u4Xts+AkTmbkAmP4i7bCIR+SIicqhvc1qPX6rsNNQDY5s80S170v2eD7311RHxy5VIlwJQWiv+YWjkyAf2RMj1fjtxAGyn8erEAeznEHE/OVLWcpaCzEaEXAlhvQvEWe3plS8IPfmATAHrISjUVFjoYjR/JAjD1Y4/mDd7ceIAdmT2vAu9OzV0SdJ6KBwEZPpoPKWEyoyPIfxuhDed+HyIkOoQMsh5Lush75lLtuOOzkyqj6jCA8qRe0CED0B6ceQifEBgi+iiNG4m0qEFYmrt6P7udrrhSFEOmTnFL92TAhgagogE6aXSUURA6AVdca1yullTkbbjoK8BtmNe9nGDtjkDRJq3a2gsYYHseRDxYOALmrW9lUrLZtUQWuER9b7mAWFqBf9v796jo6zTA45/n5nJZCYkIXLRsiRKNJoCgVS6QQ6w9QaCCCilhSDCUTm6LqhocS27WJZ1L162Cqvi6nZVrJcEiy2oVVg9QrvWCyCLUlgpuICQ4oqNQC5MQmae/vGGcJvMvEkmGSZ5PudwDvPOb37v7+Xy5J3f+/s9T7cYX6MDEyE4qW3n8H4L0orjtwuMc99n5q3I2b+DrB+Bx0X2QE8P8J2eWl483ZwizvFk/+z4txJPT3eD1BoIvRY/iOPyoXAihPe4aqYN7trF5zZzomVYNLFZII/Dk/V9JOdxSBt6/KCvCMl+AOn+i4SkMZVu3yPmf1ZvHsRYgx1V6LdQ9TOI7IvfNji12ekhyZoH/uaSO3khaxGe4Ak/ZPzDnKRQiRKcggSuTFx/sUimu3Yel+3i8ZfgLhdNSWLOZzotm1pxQQJjkMAYVBuASNvmxKP2fwVk/xg9/BNOm5/1nu+scHBb25ITc7i4mFv2j0Qy5zQ/NvHDWb+G0BpnXXfDH0H8kH450u27iLf3Ke29kHkneviHrscLOFMseCC823ntK0QyZiIZLr4RJEr6SKdwsx6O2awl345i9uPLR/0jnayXzfGeB/74qXJN12aBvAWkHdOtSkapkzyq9lW0YTuI39k+n35Zi3NXu8nhAulOXcvgdXFznYh4ITgOabzzVj0KodfRg3c4D+wkAwJjkIwbEN+5zgYerUWrF7sv8Bz+As7+FMGp4d2Sh4mJIhKAbjeh1b9svpF/JJJWlLhzdv85Wjnj+A+wE3l6IDmP2YoVE5ctP+yEIl9PgIbtcdtJ7/867Y46Fj261SnIEHoTIl9G6TADyXkSSXfqXmqkGkJvood/Do0BOuZ4zv69My+fRKrq7OatfYHTlnH6hyE5SxG3D6jdnjNyCGrL0COvOktMPWc5OdMzZjjFMIxpZMsPOxFn6/t/OitEPD0b79pPXAMedtmTu3YaqUIPzoX69+I0rEUP3gG91yGeLMSTCRlT0Lq18Zdxes9PehAHEBEk+z404wan6HK4wllnHxyP+GPt1GzDOT3dIfM2JPO2dunfdH4WyFOM1q5Aqx91Nv8cIzmQ+T2k203O67S/gIadsTvy9HWdg1wPzob6j1wOsKpxed7xddOScb2LZZwdtDLFJfH1Q7K+n+xhGOOKTb6lEK19xXmIeGIQB9CDTj6T6qcBd0FRMkpdzb1q3Ufug/ixz5yS2kDSvwOx1tunXwpnWCA3JpVYIE8RqvVoVXPJpRrb1DyJRg4jaUVI5t8139D/Heh2s7vzhl5vyTCPfeq0I57shUj3h8A38PhB73lI1nwk51ft+iDZmM7O/vekirp34+/U1CNOrpWMac58q68QrV12PPmXN9/Jo50xzX1VnsihFg9V0i6Ofjw4CQlOQiMHgQjIWQlZh29MV2eBPFWE97tqpuH9TVtMJHA5Ergc1XrQBsTTijJu3m+1+CManBhzm4t4clo+DmNMs2xqJVV43BWXkCjtRPytC+LQig056Xi8fVp1LmNM61ggTxXpo2LXkATAB4FrEnpa8RVAcJr7DwT/OqHnN8bEZ1MrKUI8mdDt5pOKQJwmY1q7lA6T7B+hnh5QswyIsVNTshGXD1Gj0br3nWWKGkJ8F0FwEuLJbnV/xnQVFshTSbfbQeuh5llO3oLvhYypSFYL85u4JOJBsuai3W5Bj6yAmn86PV2tNxfpvhjxndfi/jX8JfrNbGj47+PHAKofhax/SFrNTmNShW3RT0Ea/hpCr6HhPyGenhCcgHTwvLTWvd+4Xlyd3aX1f4CjHwIRSBuCZExH0i+J34/Wo/93XYwNTILkPGX5uI2h+S36NkeegsTbC+l2M57sHzi5x5PwcFHSh+PJmufkU696COpWOvlXIl9B3Wr0mxlEqh6N31FoTZxdqIrWLE3YuM3pVq5ciYjw2WefJXsoCbFgwQLy8vLIzIydbviBBx6goKCAwsJC1qxZ03R89erVFBYWUlBQwIMPPtjew00IC+Sm1fTop+jhH9Nsubaap9DQ27H7CP17/BMd/RRtiF+AwrROWVkZI0eOpKysrN3OEQ67zf/TdhMmTGD9+vUx22zbto3y8nK2bt3K6tWrmT17NuFwmHA4zJw5c3jrrbfYtm0bZWVlbNt25hfAtkBuWk1romQIPLVN7T/H7sTthqM4OcJN61RXV/Pee+/xzDPPUF5eDjhB95577qGoqIjBgwfz+OPOA/YNGzYwfPhwiouLGTp0KFVVVSxbtozbb7+9qb/x48ezbt06ADIzM5k3bx7FxcV88MEH3H///ZSUlFBUVMStt97KsWndnTt3MmrUKIqLixkyZAiff/45M2fOZOXKlU39Tp8+nVWrVrm6pmHDhtGnT+xvqatWraK0tJT09HTy8/MpKChg/fr1rF+/noKCAs4//3z8fj+lpaWuz5tM9rCzC9P6TxqLRewBTyYSuBoC49wXzjglp0r0Nh+herT5naTeXDj6cZxOvOCxtentYdWqVYwdO5aLLrqInj178vHHH7N+/Xp2797N5s2b8fl8VFZWUl9fz9SpU1m+fDklJSUcPnyYYDB2sZOamhouueQSHnnESS0xYMAAFi5cCMCMGTN44403mDBhAtOnT2f+/PlMmjSJUChEJBJh1qxZLF68mOuuu45Dhw7x/vvv8/zzz7N9+3amTp0a9Xzr1q0jJ8fdZrOKigqGDRvW9Do3N5eKigoA8vLyTjr+0UctyzWUDAkJ5CIyD/hHoLeqfh2vvUku1Qh6+D44suLk43VrofpJOOtZxOei1qebCkROz82+Ixl/i4bi3PGkX4F4XdYCNS1SVlbG3LlzASgtLaWsrIxdu3Zx22234fM54aFHjx5s2bKFPn36UFLilJ3Lzo6/LNTr9TJ58uSm12vXruXhhx+mtraWyspKBg4cyGWXXUZFRQWTJjm1bwOBAACXXnops2fP5sCBA7z66qtMnjwZn89HYWEhmzdvTuifQWfQ5kAuInnAVYBNYqaKml+dFsSbhHej39wCvd6IX5ko7eL4ecZ9/WPe4Yt/KBq4GkJvNdMgG8m6O/Y5TKtUVlby7rvvsmXLFkSEcDiMiDQFazd8Ph+RyPFnJKFQqOn3gUAAr9fbdHz27Nls3LiRvLw8Fi1adFLbaGbOnMmLL75IeXk5zz33HEDC7sj79u3L3r17m17v27ePvn37AjR7/EyWiDnyxcC9xJssNWcE1Xq0Js68dfhzqFsXty/JmJ6YNt0fgYxZp+9cTRuC9HgRpBtavZTIofuIVD2Cxsu1blxZsWIFM2bMYM+ePezevZu9e/eSn59PcXExTz/9NA0NzjeuyspKCgsL2b9/Pxs2bACgqqqKhoYG+vXrx+bNm4lEIuzdu7fZh4zHgnavXr2orq5mxQrnRiIrK4vc3Nym+fC6ujpqa51qUjfeeCNLliwBnGkZoOmOPNovt0EcYOLEiZSXl1NXV8euXbvYsWMHQ4cOpaSkhB07drBr1y7q6+spLy9n4sSJLf2j7XBtCuQici1QoaqfuGh7q4hsFJGNBw4caMtpTVvUb4yfRRHQunfitpH0kZBxU/MNAuMgGH8zj4gPT/bfI71/55RS6/4o0vN1pEcZemQVeuAKp47mkVeg5mn063FEDt6Fal3cvk3zysrKmqY0jpk8eTL79+/n3HPPZfDgwRQXF/Pyyy/j9/tZvnw5d9xxB8XFxYwePZpQKMSIESPIz89nwIAB3HnnnQwZMiTquXJycrjlllsoKipizJgxJ931v/DCCzz22GMMHjyY4cOH8+WXThnBc845h/79+3PTTTH+jUVx7733kpubS21tLbm5uSxatAiA1157rWmOfuDAgUyZMoUBAwYwduxYli5ditfrxefz8cQTTzBmzBj69+/PlClTGDhwYIyznRnibggSkXeAaIUDFwA/BK5S1UMishv4tps5ctsQlDwaWose/G78hoFxeHKWxO4rUg3hvWjdh1C3Bo5uct7wFTp34sEpbSocrNVPoNWPxRjjBDw5sXO0m9RVW1vLoEGD2LRpE927d0/2cM4Ira7ZqaqjmulwEJAPfNKYUzoX2CQiQ1U1SmVec0bwXQAI8WbCxHdRs+9p+Cu0eomT+1yPNPZ7IWT/FAlOQCT2agY3NFKD1jwbu1HoDbThDsTXr83nM2eWd955h1mzZnH33XdbEHeh1Q87VXUL0JShqSV35CZ5xHcu6h8Rp5CyD4J/g+oR0AaQzKYCEBr+Cq0shfC+kz/SsAMO3+fkQ8+a2/aB1v0HaHWcRur8MMmc0/bzmTPKqFGj2LNnT7KHkTJsQ1AXJNkLnILNzQlOQg/NQ/9UjH71l+jXo9GaZ46Xmzs1iJ+oZmliHka63ACkrahgZExnk7BArqr97G48NYjvAqTnKxC4mpO+lPn+HNKvgSP/cnLB5fAXaNVDaOWNEHozbv9aW972QXrdLfkSr5v17sZ0brazs4sSXz8k55dopBLCFc7SPw05mQibc9TlA+qG7W0foH8EePpCpCJGo3QITmj7uYxJcTa10sWJpweSNgjxnY/WvpSgXtPb3IOIB8meT6x/opJ5e9TSdsZ0NRbIzXFH424HcEUCURc6taKfMUjOY+A9pViFpzeStRDJdLGM0pguwKZWzAnibMl3w9MbAomb7pDAVZA+Go5ugPD/OkWo/cObT8JlTBdkgdwclz4CGv4Qu43vQmf+unbZ6e95eiNn/QbxxCsS3TIiAv6hCe3TmM7EArlpIsFpaM3znFwP9JQ2GTOQjFI0eK2zOqVhB0gACYyGwLVOkWhjTIeyQG6aiC8Pch5BD84jajAPliIZpU7btIFI95907ACNMVFZIDcnkcBY6HWhs4Klbh3oUUgbiGRcj6T/VbKHZ4yJwgK5OY34LkCyFwILkz0UY4wLtvzQGGNSnAVyY4xJcRbIjTEmxVkgN8aYFBe3QlC7nFTkANDZkw33ArpiNsiueN12zV3DmXDN56lq71MPJiWQdwUisjFaSabOritet11z13AmX7NNrRhjTIqzQG6MMSnOAnn7+XWyB5AkXfG67Zq7hjP2mm2O3BhjUpzdkRtjTIqzQG6MMSnOAnkHEJF5IqIi0ivZY2lvIvILEflMRD4VkX8TkZxkj6m9iMhYEdkuIjtFZH6yx9MRRCRPRNaKyDYR2Soic5M9po4iIl4R+b2IvJHssZzKAnk7E5E84Crgi2SPpYO8DRSp6mDgf4AfJHk87UJEvMBS4GpgADBNRAYkd1QdogGYp6oDgGHAnC5y3QBzgTgltJLDAnn7WwzcC3SJp8qq+ltVbWh8+SGQm8zxtKOhwE5V/aOq1gPlwLVJHlO7U9X9qrqp8fdVOIGtb3JH1f5EJBe4BvhNsscSjQXydiQi1wIVqpqY8vSp52bgrWQPop30Bfae8HofXSCgnUhE+gEXAx8ldyQdYgnODVkk2QOJxgpLtJGIvAP8WZS3FgA/xJlW6VRiXbOqrmpsswDna/hLHTk20zFEJBN4FbhLVQ8nezztSUTGA1+p6sciclmyxxONBfI2UtVR0Y6LyCAgH/hERMCZYtgkIkNV9csOHGLCNXfNx4jIjcB44ErtvBsVKoC8E17nNh7r9EQkDSeIv6Sq/5rs8XSAEcBEERkHBIBsEXlRVW9I8ria2IagDiIiu4Fvq2qys6e1KxEZCzwKXKqqB5I9nvYiIj6ch7lX4gTwDcD1qro1qQNrZ+LclTwPVKrqXckeT0drvCO/R1XHJ3ssJ7I5cpNoTwBZwNsisllEnkr2gNpD4wPd24E1OA/8XunsQbzRCGAGcEXj3+/mxjtVk0R2R26MMSnO7siNMSbFWSA3xpgUZ4HcGGNSnAVyY4xJcRbIjTEmxVkgN8aYFGeB3BhjUtz/Ax4Fr23lr/xaAAAAAElFTkSuQmCC\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "pWk9ZTLO5bna"
      },
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
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